# Best Text Analysis Software - Page 3 *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage [NLP](https://www.g2.com/categories/natural-language-processing-nlp) and [machine learning](https://www.g2.com/categories/machine-learning) to pull out different insights and provide visual representations of the data for easier interpretation. Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including [big data analytics](https://www.g2.com/categories/big-data-analytics) and [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms). To qualify for the Text Analysis category, a product must: - Import text data from a variety of different data sources - Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns - Provide visualizations for text data ## G2 Grid® for Text Analysis Software ![G2 Grid® for Text Analysis Software plotting products by satisfaction and market presence](https://www.g2.com/categories/text-analysis/grids.png?focus%5B%5D=1327283&focus%5B%5D=52116&focus%5B%5D=19895&focus%5B%5D=21472&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578) Highlighted products: SAS Viya, Amazon Comprehend, Chattermill, Google Cloud Natural Language API, Caplena, Canvs, Birdie, and Dovetail. Underlying data: [Grid® JSON](https://www.g2.com/categories/text-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=amazon-comprehend&focus%5B%5D=chattermill&focus%5B%5D=google-cloud-natural-language-api&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=dovetail-research-pty-ltd-dovetail) ## How Many Text Analysis Software Products Does G2 Track? **Total Products under this Category:** 191 ### Category Stats (Jul 2026) - **Average Rating**: 4.51/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: IBM Watson Natural Language Understanding (+0.26%) - Among all products in this category, IBM Watson Natural Language Understanding recorded the largest rating increase compared to last month *Last updated: July 20, 2026* ## How Does G2 Rank Text Analysis Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 5,300+ Authentic Reviews - 191+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Text Analysis Software Is Best for Your Use Case? - **Leader:** [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - **Highest Performer:** [Caplena](https://www.g2.com/products/caplena/reviews) - **Easiest to Use:** [Kimola](https://www.g2.com/products/kimola/reviews) - **Top Trending:** [Unwrap.ai](https://www.g2.com/products/unwrap-ai/reviews) - **Best Free Software:** [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) --- **Sponsored** ### Enterpret Enterpret empowers customer support, CX, and product teams to scale their understanding of customer feedback effortlessly. As your customer base grows and products become more complex, manually tagging and processing feedback quickly becomes unmanageable. Without comprehensive, trustworthy feedback data, product decisions often fall victim to recency bias or whoever speaks the loudest. Enterpret solves this challenge as a Unified Customer Feedback Intelligence platform, consolidating feedback from every critical channel—including Zendesk, Slack, Twitter, NPS surveys, app store reviews, and community forums—into a single source of truth. Leveraging advanced AI, Enterpret automatically categorizes and organizes feedback into a structured hierarchy, surfacing deep, actionable insights that authentically capture the Voice of the Customer. Teams rely on these insights to spot trends, enhance customer retention, drive revenue growth, prioritize effectively, and ensure alignment on the most impactful customer issues. Leading customer-centric companies like Canva, Notion, Strava, Hinge, and The Farmer's Dog use Enterpret to deliver exceptional customer experiences and fuel their growth through insightful feedback analysis. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-07-20T15%3A26%3A48Z&secure%5Bdisplayable_resource_id%5D=1260&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1260&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1179872&secure%5Bresource_id%5D=1260&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Ftext-analysis%3Fhelpref%3Dhc_fnav%26page%3D3&secure%5Btoken%5D=b71abf2dd5f1c71420f6fe8da384193f1b0d9b18546c174786d52e93309c61de&secure%5Burl%5D=https%3A%2F%2Fwww.enterpret.com%3Futm_source%3DG2%26utm_medium%3DPPC%26utm_campaign%3DG2_PPC_TextAnalysis&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Text Analysis Software Products in 2026? ### 1. [Graze.ai](https://www.g2.com/products/graze-ai/reviews) Graze.ai uses Large Language Models to research and uncover hard-to-find signals. Find signals like: Companies working with your competitors Fintech CMOs exhibiting at a conference Companies that has a 2-day remote schedule Companies that offers mental health benefits Pharmaceutical trials taking place in a hotel **Average Rating:** 4.8/5.0 **Total Reviews:** 11 **Who Is the Company Behind Graze.ai?** - **Seller:** [Graze.ai](https://www.g2.com/sellers/graze-ai) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Small-Business, 45% Enterprise #### What Are Graze.ai's Pros and Cons? **Pros:** - Collaboration (4 reviews) - Accuracy (3 reviews) - Analysis Accuracy (2 reviews) - Automation (2 reviews) - Data Accuracy (2 reviews) **Cons:** - Cluttered Layout (1 reviews) - Data Management (1 reviews) - Insufficient Documentation (1 reviews) - Integration Issues (1 reviews) - Outdated Data (1 reviews) ### What Do G2 Reviewers Say About Graze.ai? *AI-generated summary from verified user reviews* **Pros:** - Users value the **collaboration features** of Graze.ai, enabling targeted outreach and personalized interactions with potential candidates. - Users commend Graze.ai for its **high accuracy** , delivering reliable data for event attendance and marketing strategies. - Users value the **analysis accuracy** of Graze.ai, effectively identifying top conference opportunities and potential connections. - Users love the **automation** of event selection and outreach, making marketing efforts more efficient and effective. - Users praise Graze.ai for its **high data accuracy** , effectively resolving issues with incomplete and inconsistent attendee lists. **Cons:** - Users find the **cluttered layout** of Graze.ai reminiscent of outdated design, impacting overall usability and visual appeal. - Users find the **incomplete event data** on Graze.ai to be a significant limitation in its functionality. - Users face challenges with **insufficient documentation** , leading to delays in onboarding and integration issues. - Users find that **integration issues** hinder their experience with Graze.ai, complicating the onboarding process. - Users find the **outdated data** in Graze.ai limiting as it lacks coverage for all events. #### What Are Recent G2 Reviews of Graze.ai? **"[It’s essential to our growth and just works.](https://www.g2.com/survey_responses/graze-ai-review-12684236)"** **Rating:** 5.0/5.0 stars *— Verified User in Human Resources* [Read full review](https://www.g2.com/survey_responses/graze-ai-review-12684236) --- **"[Comprehensive, Accurate Conference Data That Replaces Costly Research Firms](https://www.g2.com/survey_responses/graze-ai-review-12667464)"** **Rating:** 5.0/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/graze-ai-review-12667464) --- ### 2. [Intellexer Preformator](https://www.g2.com/products/intellexer-preformator/reviews) Intellexer Preformator extracts plain text and information about the text layout from documents of different formats (doc, pdf, rtf, html, etc.). Also Preformator automatically determines the structure (patent, news or scientific article, review, etc.) of document and its theme (economics, law, sports, etc.). **Average Rating:** 4.6/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Intellexer Preformator?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.0/10 (Category avg: 8.1/10) - **Compositionality:** 8.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Intellexer Preformator?** - **Seller:** [EffectiveSoft](https://www.g2.com/sellers/effectivesoft) - **Year Founded:** 2003 - **HQ Location:** San Diego, US - **Twitter:** @EffectiveSoft (992 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/effectivesoft (362 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Small-Business #### What Are Intellexer Preformator's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Categorization (1 reviews) - Easy Setup (1 reviews) - NLP Capabilities (1 reviews) - Quick Analysis (1 reviews) **Cons:** - Data Management (1 reviews) - Poor Interface Design (1 reviews) - Poor Performance (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About Intellexer Preformator? *AI-generated summary from verified user reviews* **Pros:** - Users find Intellexer Preformator to be very **easy to use** , seamlessly supporting various document formats and enhancing productivity. - Users value the **effective categorization** features of Intellexer Preformator, enhancing their data organization and analysis experience. - Users commend the **easy setup** of Intellexer Preformator, making it accessible even for those with limited technical skills. - Users value the **well-trained NLP capabilities** of Intellexer Preformator, which swiftly organizes unstructured texts. - Users highlight the **time-saving summarization** capabilities of Intellexer Preformator, making document analysis efficient and accessible. **Cons:** - Users find the **management of special characters** in Intellexer Preformator challenging, causing formatting issues during usage. - Users feel the **poor interface design** of Intellexer Preformator hinders usability and overall user experience. - Users often experience **poor performance** during heavy tasks, indicating a need for improvement in Intellexer Preformator. - Users find the **slow performance** of Intellexer Preformator frustrating, particularly with large batches of documents. #### What Are Recent G2 Reviews of Intellexer Preformator? **"[Intellexer Preformator Review : AI - Powered Document Processor](https://www.g2.com/survey_responses/intellexer-preformator-review-11245264)"** **Rating:** 4.5/5.0 stars *— Sonal P.* [Read full review](https://www.g2.com/survey_responses/intellexer-preformator-review-11245264) --- **"[Best language processing tool.](https://www.g2.com/survey_responses/intellexer-preformator-review-11242745)"** **Rating:** 5.0/5.0 stars *— Nipun K.* [Read full review](https://www.g2.com/survey_responses/intellexer-preformator-review-11242745) --- ### 3. [Otera Studio](https://www.g2.com/products/otera-studio/reviews) DeepOpinion Studio is an intelligent process automation platform for text. Our no-code Studio enables enterprise teams to seamlessly automate text-based processes with world-class accuracy in hours. Teams use it to automate processes such as customer feedback analytics, routing & prioritizing customer support tickets, customer support monitoring, CRM enrichment, requirements management, claim processing and more. **Average Rating:** 4.8/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Otera Studio?** - **Compositionality:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Otera Studio?** - **Seller:** [Otera Studio](https://www.g2.com/sellers/otera-studio) - **Year Founded:** 2019 - **HQ Location:** Innsbruck, Tyrol, Austria - **LinkedIn® Page:** https://www.linkedin.com/company/we-are-otera/ (72 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 20% Enterprise #### What Are Recent G2 Reviews of Otera Studio? **"[User-friendly ML-Software for fast development](https://www.g2.com/survey_responses/otera-studio-review-8285901)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/otera-studio-review-8285901) --- **"[Innovative tool from innovative startup with good solutions for intelligent process automation](https://www.g2.com/survey_responses/otera-studio-review-7931733)"** **Rating:** 5.0/5.0 stars *— Verified User in Railroad Manufacture* [Read full review](https://www.g2.com/survey_responses/otera-studio-review-7931733) --- #### What Are G2 Users Discussing About Otera Studio? - [What is DeepOpinion Studio used for?](https://www.g2.com/discussions/what-is-deepopinion-studio-used-for) ### 4. [Provalis Research QDA Miner](https://www.g2.com/products/provalis-research-qda-miner/reviews) QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. **Average Rating:** 4.1/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Provalis Research QDA Miner?** - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Provalis Research QDA Miner?** - **Seller:** [Provalis Research](https://www.g2.com/sellers/provalis-research-c6b9ceed-0714-4127-8c5d-71a2b9f7ecd4) - **Year Founded:** 1989 - **HQ Location:** Montreal, CA - **Twitter:** @ProvalisRes (884 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/provalis-research (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Small-Business, 40% Mid-Market #### What Are Recent G2 Reviews of Provalis Research QDA Miner? **"[A solid qualitative data analysis software](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-5393002)"** **Rating:** 4.0/5.0 stars *— Verified User in Government Administration* [Read full review](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-5393002) --- **"[In research, from an analyzing and organizing perspective.](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-9869898)"** **Rating:** 4.0/5.0 stars *— Verified User in Research* [Read full review](https://www.g2.com/survey_responses/provalis-research-qda-miner-review-9869898) --- ### 5. [Proxem Software](https://www.g2.com/products/proxem-software/reviews) Proxem Studio is a SaaS software suite specially designed for collecting, analysing and visualising textual data. **Average Rating:** 4.2/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Proxem Software?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.2/10 (Category avg: 8.3/10) **Who Is the Company Behind Proxem Software?** - **Seller:** [Proxem](https://www.g2.com/sellers/proxem) - **HQ Location:** Vélizy-Villacoublay, FR - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 40% Small-Business #### What Are Recent G2 Reviews of Proxem Software? **"[Excellent tool to make design of web application.](https://www.g2.com/survey_responses/proxem-software-review-8298209)"** **Rating:** 5.0/5.0 stars *— ritik y.* [Read full review](https://www.g2.com/survey_responses/proxem-software-review-8298209) --- **"[Organize And Analyze Text Data With Proxem](https://www.g2.com/survey_responses/proxem-software-review-8526830)"** **Rating:** 4.5/5.0 stars *— Rashmi S.* [Read full review](https://www.g2.com/survey_responses/proxem-software-review-8526830) --- ### 6. [Semeon Analytics](https://www.g2.com/products/semeon-analytics/reviews) Semeon can help you understand and prioritize large-scale employee, customer and marketplace feedback data from anywhere like social, surveys, reviews and CRM data. Our platform automatically extracts the most relevant multi-word concepts from your data, measures sentiment and generates insightful dashboards. With unmatched analytical power, you can drill into custom data classification and multi-layered filters to get actionable KPI insights in real-time to power your CX initiatives. **Average Rating:** 4.4/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Semeon Analytics?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.8/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.8/10 (Category avg: 8.3/10) **Who Is the Company Behind Semeon Analytics?** - **Seller:** [Semeon Analytics](https://www.g2.com/sellers/semeon-analytics) - **Year Founded:** 2013 - **HQ Location:** Montreal, CA - **Twitter:** @SemeonAnalytics (460 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/semeonanalytics/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 30% Enterprise #### What Are Semeon Analytics's Pros and Cons? **Pros:** - Analytics (2 reviews) - Ease of Use (2 reviews) - Affordable (1 reviews) - AI Assistant (1 reviews) - AI Integration (1 reviews) **Cons:** - Integration Issues (1 reviews) - Linking Issues (1 reviews) - Poor Interface Design (1 reviews) - Slow Loading (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About Semeon Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use and deep insights** provided by Semeon Analytics for impactful decision-making. - Users appreciate the **ease of use** of Semeon Analytics, making data analysis and sentiment identification straightforward and insightful. - Users value the **affordability** of Semeon Analytics, finding it excellent for budget-friendly text analysis and insights. - Users value the **ease of use** of Semeon Analytics, effectively transforming customer experiences into actionable insights. - Users value the **AI integration** in Semeon Analytics for transforming customer experience into actionable insights effortlessly. **Cons:** - Users face **integration issues** with Semeon Analytics, hindering seamless data connection from multiple sources. - Users find the tool lacks a robust platform for **linking issues** across various data sources like social media and CRM. - Users note that a **more structured and smoother User Interface** in Semeon Analytics would enhance the overall experience. - Users express frustration with the **slow loading** times of Semeon Analytics, hindering their workflow and efficiency. - Users report **slow performance** in Semeon Analytics, leading to frustrations and hindered productivity during analysis tasks. #### What Are Recent G2 Reviews of Semeon Analytics? **"[Great tool for text analysis and AI based solutions](https://www.g2.com/survey_responses/semeon-analytics-review-10568744)"** **Rating:** 4.0/5.0 stars *— Avashesh S.* [Read full review](https://www.g2.com/survey_responses/semeon-analytics-review-10568744) --- **"[Making your life easy and smooth](https://www.g2.com/survey_responses/semeon-analytics-review-8896400)"** **Rating:** 5.0/5.0 stars *— Arvind S.* [Read full review](https://www.g2.com/survey_responses/semeon-analytics-review-8896400) --- ### 7. [Verint Speech and Text Analytics](https://www.g2.com/products/verint-speech-and-text-analytics/reviews) Verint Speech and Text Analytics is an enterprise-grade solution can automatically discover and analyze words, phrases, categories, and themes that may be affecting customer experience. This rich source of behavioral data can deliver immediate business outcomes for your organization. Powered by Verint Exact Transcription Bot, Verint Speech Analytics can provide unmatched transcription and comprehension accuracy at your fingertips. With Verint, you can accurately process voice with complete speaker separated transcription for 100% of customer interactions. Genie Bot Verint Genie Bot leverages generative AI to supercharge your analyst capacity. The bot gives analysts the power to ask questions about their unstructured data for immediate insights. This bot is embedded in Verint Speech Analytics. PII Redaction Bot With the PII Redaction Bot, you can automatically redact sensitive information such as credit card number or social security number from a voice interaction, without the need for any additional product or service subscription. Sentiment Bot Verint Sentiment Bot accurately scores every voice and digital customer interaction so you can identify, quantify, and analyze the various factors that are influencing customers’ sentiment during interactions. AI Business Outcomes with Verint Speech Analytics $3M In Revenue Major US healthcare company was able to significantly improve cross selling and drive $3M in incremental revenue within 3 months. 10% Increase In Agent Capacity Global Insurance firm saw their self-service success improve by 12%, resulting in 10% increase in agent capacity. **Average Rating:** 4.4/5.0 **Total Reviews:** 83 **How Do G2 Users Rate Verint Speech and Text Analytics?** - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.0/10) **Who Is the Company Behind Verint Speech and Text Analytics?** - **Seller:** [Verint](https://www.g2.com/sellers/verint) - **Year Founded:** 1994 - **HQ Location:** Melville, New York - **Twitter:** @Verint (7,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/verint (4,343 employees on LinkedIn®) - **Ownership:** Thoma Bravo **Who Uses This Product?** - **Top Industries:** Insurance, Banking - **Company Size:** 67% Enterprise, 28% Mid-Market #### What Are Verint Speech and Text Analytics's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Accuracy (8 reviews) - Call Recording (8 reviews) - Analytics (7 reviews) - Artificial Intelligence (6 reviews) **Cons:** - Accuracy Issues (11 reviews) - Inaccuracy (10 reviews) - Accent Recognition (5 reviews) - Inadequate Reporting (3 reviews) - Integration Issues (3 reviews) ### What Do G2 Reviewers Say About Verint Speech and Text Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **intuitive design** of Verint Speech and Text Analytics, making call reviews and insights seamless. - Users praise the **high accuracy** of Verint Speech and Text Analytics, delivering valuable insights for informed decision-making. - Users value the **real-time insights** provided by Verint Speech Analytics, enhancing call reviews and improving quality assurance efficiency. - Users praise the **real-time analytics** feature of Verint, enabling effective management of interactions through insightful dashboards. - Users value the **actionable insights** provided by Verint Speech Analytics, enhancing customer experience and performance improvement. **Cons:** - Users find **accuracy issues** in Verint Speech and Text Analytics, particularly with sarcasm and transcription confidence levels. - Users note **inaccuracy in transcription** , expressing concerns about unreliable results and low confidence scores. - Users face **transcription challenges** with clinician content, especially regarding noise from scripted parts and Portuguese terms. - Users face challenges with **inadequate reporting** , struggling with manual report creation and limited dashboard functionality. - Users face **integration issues** with Verint, wishing for a more agnostic approach to call platform compatibility. #### What Are Recent G2 Reviews of Verint Speech and Text Analytics? **"[Verint PoCs](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-11659275)"** **Rating:** 4.5/5.0 stars *— Raul Eduardo A.* [Read full review](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-11659275) --- **"[Quick Insights into Customer Behavior and Root Causes](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-12541336)"** **Rating:** 5.0/5.0 stars *— Paige F.* [Read full review](https://www.g2.com/survey_responses/verint-speech-and-text-analytics-review-12541336) --- #### What Are G2 Users Discussing About Verint Speech and Text Analytics? - [What is Verint Text Analytics used for?](https://www.g2.com/discussions/what-is-verint-text-analytics-used-for) - 1 comment ### 8. [Aiwo](https://www.g2.com/products/aiwo/reviews) Real time analysis of customer contacts in all customer service channels. Visualize the cost of unnecessary customer contacts, identify ownership of issues, discover trends and understand which customer segments are affected. All data in one easy-to-use dashboard. Unique AI-powered analytics Expose the inefficiencies causing the growing number of customer contacts – usually rooted at the organisations’ operational and system level, not in customer service. Aiwo is able to identify cost and value driving contacts, connect them to relevant issues and assign them to the correct business unit. Having this visibility gives you the opportunity to make faster and more focused improvements. Aiwo’s unique customer contact analysis is based on the academic theory of failure demand and native language analysis. Drive value across different roles and functions Aiwo’s real time dashboard allows you to build custom views according to the roles of your organisation. Users can easily filter or break down data according to their needs – business unit, service, segment, channel or even single messages. Enrich you own CRM or BI data through Aiwo export API. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Aiwo?** - **Custom Extension:** 8.8/10 (Category avg: 8.1/10) - **Pre-Built Parameterization:** 7.9/10 (Category avg: 8.3/10) **Who Is the Company Behind Aiwo?** - **Seller:** [Aiwo Digital](https://www.g2.com/sellers/aiwo-digital) - **Year Founded:** 2018 - **HQ Location:** Jyväskylä, FI - **LinkedIn® Page:** https://linkedin.com/company/aiwo (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Mid-Market #### What Are Recent G2 Reviews of Aiwo? **"[Powerful platform for insights with AI driven analysis](https://www.g2.com/survey_responses/aiwo-review-9412599)"** **Rating:** 4.5/5.0 stars *— Jeet S.* [Read full review](https://www.g2.com/survey_responses/aiwo-review-9412599) --- **"[Elevate analysis experience with Aiwo](https://www.g2.com/survey_responses/aiwo-review-9425585)"** **Rating:** 4.5/5.0 stars *— Akshat J.* [Read full review](https://www.g2.com/survey_responses/aiwo-review-9425585) --- ### 9. [Ascribe Coder](https://www.g2.com/products/ascribe-coder/reviews) Ascribe Coder allows researcher coding analysts to code and analyze mass amounts of verbatim comments. Ascribe Coder provides human accuracy, reduces cycle times, increases productivity and lowers costs. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Ascribe Coder?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) **Who Is the Company Behind Ascribe Coder?** - **Seller:** [Ascribe](https://www.g2.com/sellers/ascribe) - **Year Founded:** 1999 - **HQ Location:** Cincinnati, US - **Twitter:** @GoAscribe (60 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/117120 (72 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 20% Small-Business #### What Are Ascribe Coder's Pros and Cons? **Pros:** - AI Technology (1 reviews) - Ease of Use (1 reviews) - Easy Setup (1 reviews) - Features (1 reviews) **Cons:** - Difficulty in Adjustments (1 reviews) - Poor Interface Design (1 reviews) ### What Do G2 Reviewers Say About Ascribe Coder? *AI-generated summary from verified user reviews* **Pros:** - Users value the **quick AI-generated Nets** in Ascribe Coder, enhancing their coding efficiency effortlessly. - Users find Ascribe Coder to be **very easy to use** , especially for applying and removing code effortlessly. - Users appreciate the **easy setup** of Ascribe Coder, allowing for quick net generation and simple code additions. - Users value the **quick net generation and easy code integration** of Ascribe Coder for streamlined development. **Cons:** - Users find it challenging to **delete codes from the code frame** , leading to frustration and time loss. - Users find the **poor interface design** of Ascribe Coder frustrating, requiring excessive clicks for basic tasks. #### What Are Recent G2 Reviews of Ascribe Coder? **"[Ascribe helping tool](https://www.g2.com/survey_responses/ascribe-coder-review-11540005)"** **Rating:** 4.5/5.0 stars *— Reshma S.* [Read full review](https://www.g2.com/survey_responses/ascribe-coder-review-11540005) --- **"[Detailed and efficient coding with traditional interface](https://www.g2.com/survey_responses/ascribe-coder-review-10507419)"** **Rating:** 4.0/5.0 stars *— Malki P.* [Read full review](https://www.g2.com/survey_responses/ascribe-coder-review-10507419) --- #### What Are G2 Users Discussing About Ascribe Coder? - [What is Ascribe Coder used for?](https://www.g2.com/discussions/what-is-ascribe-coder-used-for) ### 10. [Data Grand](https://www.g2.com/products/data-grand/reviews) Data Grand is a leading Chinese AI company specializing in Natural Language Processing , Optical Character Recognition , Knowledge Graphs, and Robotic Process Automation . Founded in 2015, the company offers intelligent text processing technologies and smart office robot services to enhance business efficiency across various industries. Their solutions include intelligent document processing, automated text analysis, and intelligent recommendations, serving sectors such as finance, manufacturing, telecommunications, law, auditing, media, banking, and government. Key Features and Functionality: - Intelligent Document Processing : Automates the extraction and processing of information from documents, improving accuracy and efficiency. - Optical Character Recognition : Converts various types of documents, such as scanned papers or PDFs, into editable and searchable data. - Robotic Process Automation : Automates repetitive tasks using AI, including automation creation, deployment, and monitoring. - Natural Language Processing : Enables computers to understand, interpret, and generate human language effectively. - Knowledge Graphs: Organizes and connects information to enhance data retrieval and analysis. - Intelligent Recommendations: Provides personalized content suggestions to users based on data analysis. Primary Value and User Solutions: Data Grand's products address the challenges of manual document processing and repetitive tasks by offering intelligent automation solutions. Their technologies streamline workflows, reduce human error, and enhance operational efficiency. By integrating AI-driven tools like IDP, OCR, and RPA, businesses can automate complex processes, leading to significant time and cost savings. These solutions are particularly beneficial for industries with high volumes of text-based data, enabling them to manage information more effectively and make informed decisions. **Average Rating:** 3.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Data Grand?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10) - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 6.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 6.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Data Grand?** - **Seller:** [Data Grand](https://www.g2.com/sellers/data-grand) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Data Grand? **"[Automatically scans documents](https://www.g2.com/survey_responses/data-grand-review-9362472)"** **Rating:** 4.5/5.0 stars *— Verified User in Accounting* [Read full review](https://www.g2.com/survey_responses/data-grand-review-9362472) --- ### 11. [Deep Talk](https://www.g2.com/products/deep-talk/reviews) Analyzing customer and employee feedback has never been easier with Deep Talk. With just a few clicks, you can turn any text, including surveys, reviews, chats, and emails, into powerful data. This tool allows you to classify and categorize the feedback, determine the sentiment, and gain insight into the NPS and CSAT scores. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Deep Talk?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Deep Talk?** - **Seller:** [Deep Talk](https://www.g2.com/sellers/deep-talk) - **Year Founded:** 2020 - **HQ Location:** Paris, FR - **Twitter:** @DeepTalkAI (190 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/deep-talk/ (16 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Mid-Market #### What Are Deep Talk's Pros and Cons? **Pros:** - Accuracy (1 reviews) - Efficiency (1 reviews) - Recording Features (1 reviews) - Speed (1 reviews) - Time Management (1 reviews) **Cons:** - Lack of Specificity (1 reviews) - Language Limitations (1 reviews) - Limited Language Support (1 reviews) - Missing Features (1 reviews) - Poor Understanding (1 reviews) ### What Do G2 Reviewers Say About Deep Talk? *AI-generated summary from verified user reviews* **Pros:** - Users value the **incredible accuracy** of Deep Talk, enhancing productivity and streamlining text-to-business data conversion. - Users love the **time-saving accuracy** of Deep Talk, significantly boosting their productivity in handling business data. - Users love the **accurate text-to-business data conversion** , which significantly boosts productivity and saves time. - Users value the **speed** of Deep Talk, enhancing productivity with accurate text-to-business data conversion. - Users value the **time-saving accuracy** of Deep Talk, enhancing productivity in converting text to business data. **Cons:** - Users note a **lack of specificity** in Deep Talk, as it sometimes misses local language nuances and idioms. - Users experience **language limitations** with Deep Talk, affecting understanding of local idioms and phrases crucial for business communication. - Users report that **limited language support** leads to missed idioms and phrases, potentially harming business communication. - Users report that Deep Talk often misses **local language features** , which can significantly affect communication and business outcomes. - Users encounter **poor understanding** of local language nuances in Deep Talk, which may negatively affect their business communication. #### What Are Recent G2 Reviews of Deep Talk? **"[AI to analysis our recourses](https://www.g2.com/survey_responses/deep-talk-review-7494346)"** **Rating:** 4.5/5.0 stars *— Hitesh T.* [Read full review](https://www.g2.com/survey_responses/deep-talk-review-7494346) --- **"[Great intelligence on my text data. Gave me lots of insights on my clients](https://www.g2.com/survey_responses/deep-talk-review-7440572)"** **Rating:** 4.0/5.0 stars *— Verified User in Professional Training & Coaching* [Read full review](https://www.g2.com/survey_responses/deep-talk-review-7440572) --- ### 12. [iManage Enrichment](https://www.g2.com/products/imanage-enrichment/reviews) iManage AI Enrichment is an advanced solution designed to automate document classification and data extraction, establishing a robust foundation for AI-driven knowledge management. By leveraging over 70 pre-trained document classification models, it accurately identifies document types, extracts key information points, and associates this data with the respective files. This process enhances search accuracy and boosts productivity by ensuring that critical information is readily accessible and properly categorized. Key Features and Functionality: - Automated Document Classification: Utilizes pre-trained models to automatically identify and categorize documents by type, streamlining content organization. - Data Extraction: Extracts essential information from documents and associates it with the respective files, facilitating more precise and efficient searches. - Enhanced Search Capabilities: Improves search accuracy by providing contextual data, enabling users to locate information more effectively. - Scalability: Operates automatically and at scale, analyzing and classifying both existing and new documents without additional input from users. - Security and Governance: Maintains the security and governance protections of the iManage platform, ensuring that data processed by AI remains secure and compliant. Primary Value and Problem Solved: iManage AI Enrichment addresses the challenge of managing vast amounts of unstructured data by automating the classification and enrichment of documents. This automation reduces manual effort, minimizes errors, and enhances the overall quality and value of an organization's saved documents. By enabling natural-language search and delivering more actionable results, it empowers professionals to focus on higher-value activities that drive business outcomes, thereby boosting productivity and leveraging organizational knowledge more effectively. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate iManage Enrichment?** - **Custom Extension:** 8.9/10 (Category avg: 8.1/10) - **Compositionality:** 9.4/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) **Who Is the Company Behind iManage Enrichment?** - **Seller:** [iManage](https://www.g2.com/sellers/imanage) - **Year Founded:** 2015 - **HQ Location:** Chicago, Illinois - **Twitter:** @imanageinc (2,763 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/4526/ (1,307 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Small-Business #### What Are Recent G2 Reviews of iManage Enrichment? **"[Simpler and more efficient document search and governance.](https://www.g2.com/survey_responses/imanage-enrichment-review-12700374)"** **Rating:** 5.0/5.0 stars *— Verified User in Legal Services* [Read full review](https://www.g2.com/survey_responses/imanage-enrichment-review-12700374) --- **"[Intelligent Automation for Legal Documents](https://www.g2.com/survey_responses/imanage-enrichment-review-12039588)"** **Rating:** 5.0/5.0 stars *— Verified User in Legal Services* [Read full review](https://www.g2.com/survey_responses/imanage-enrichment-review-12039588) --- ### 13. [InMoment Experience Improvement (XI) Platform](https://www.g2.com/products/inmoment-experience-improvement-xi-platform/reviews) InMoment, the leader in improving experiences and the highest recommended CX platform and services company in the world is renowned for helping clients collect and integrate customer experience data to uncover the insights that enable the smartest actions. As the pace setters in applying award-winning AI, its global clients activate every byte of their experience data—from structured surveys and social reviews to unstructured conversations from call logs, emails, support tickets, and chat transcripts to breakdown data silos. This unique technology combined with in-house industry experts empower brands to gain ROI from their CX programs in half the time as its competitors. Unlock the true potential of every piece of customer data with InMoment. To learn more, visit inmoment.com **Average Rating:** 4.7/5.0 **Total Reviews:** 314 **How Do G2 Users Rate InMoment Experience Improvement (XI) Platform?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 9.0/10) **Who Is the Company Behind InMoment Experience Improvement (XI) Platform?** - **Seller:** [PG Forsta](https://www.g2.com/sellers/pg-forsta) - **HQ Location:** Salt Lake City, Utah - **LinkedIn® Page:** https://www.linkedin.com/company/weareinmoment/ (411 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager, Customer Success Manager - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Small-Business, 39% Mid-Market #### What Are Recent G2 Reviews of InMoment Experience Improvement (XI) Platform? **"[Easy to use tools. Supportive Visionary Staff.](https://www.g2.com/survey_responses/inmoment-experience-improvement-xi-platform-review-9832822)"** **Rating:** 5.0/5.0 stars *— Beth W.* [Read full review](https://www.g2.com/survey_responses/inmoment-experience-improvement-xi-platform-review-9832822) --- **"[Seamless integration with POS for survey](https://www.g2.com/survey_responses/inmoment-experience-improvement-xi-platform-review-9337685)"** **Rating:** 5.0/5.0 stars *— Lakshay D.* [Read full review](https://www.g2.com/survey_responses/inmoment-experience-improvement-xi-platform-review-9337685) --- #### What Are G2 Users Discussing About InMoment Experience Improvement (XI) Platform? - [What is InMoment Experience Intelligence (XI) Platform used for?](https://www.g2.com/discussions/what-is-inmoment-experience-intelligence-xi-platform-used-for) ### 14. [Intellexer Summarizer](https://www.g2.com/products/intellexer-summarizer/reviews) Intellexer Summarizer receives a source document and passes it to the Intellexer Preformator which extracts plain text (along with text formatting information, headers, links, etc.), detects document structure and language (using Intellexer Language Recognizer). Extracted text is received to the Intellexer Linguistic Processor which provides syntactic and semantic processing. After complete analysis extracted information is passed back to the Intellexer Summarizer for document summary generation **Average Rating:** 4.1/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Intellexer Summarizer?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Custom Extension:** 7.5/10 (Category avg: 8.1/10) - **Compositionality:** 6.7/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.5/10 (Category avg: 8.3/10) **Who Is the Company Behind Intellexer Summarizer?** - **Seller:** [EffectiveSoft](https://www.g2.com/sellers/effectivesoft) - **Year Founded:** 2003 - **HQ Location:** San Diego, US - **Twitter:** @EffectiveSoft (992 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/effectivesoft (362 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Recent G2 Reviews of Intellexer Summarizer? **"[Quick and easy look at all your work.](https://www.g2.com/survey_responses/intellexer-summarizer-review-9805057)"** **Rating:** 4.5/5.0 stars *— Manu D.* [Read full review](https://www.g2.com/survey_responses/intellexer-summarizer-review-9805057) --- **"[Quality and Informed Solution for Docuement Summarizing](https://www.g2.com/survey_responses/intellexer-summarizer-review-9815944)"** **Rating:** 4.5/5.0 stars *— Gintel C.* [Read full review](https://www.g2.com/survey_responses/intellexer-summarizer-review-9815944) --- ### 15. [Loris](https://www.g2.com/products/loris/reviews) Transform customer interactions into opportunities for insight, optimization & growth. Automate time-consuming customer service and conversation review processes without compromising accuracy, using deep customer experience domain expertise and a library of AI models trained on millions of real customer service conversations. - Customer Insights: Uncover why customers are frustrated, understand the needs hidden in every conversation, and create solutions to improve not only your customer experience, but also your company strategy. Instantly and all in one place. - Quality Assurance: Stop subjective assessment, listening to long call recordings, and juggling multiple systems. Create consistency at every part of your QA process, automating conversation scoring, streamlining agent coaching, and measuring performance trends at all levels of your organization. - Agent Co-Pilot: Guide agents in live customer conversations, using best practice workflows and real-time sentiment analysis to give the right answer, at the right time. Improve policy compliance, customer satisfaction, and agent ramp time with more predictable interactions, delivered by agents and powered by AI. **Average Rating:** 4.8/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Loris?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10) **Who Is the Company Behind Loris?** - **Seller:** [Loris](https://www.g2.com/sellers/loris) - **Year Founded:** 2018 - **HQ Location:** New York, US - **Twitter:** @loris_ai (231 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/11465498 (61 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 73% Mid-Market, 18% Enterprise #### What Are Recent G2 Reviews of Loris? **"[Loris review](https://www.g2.com/survey_responses/loris-review-7319902)"** **Rating:** 5.0/5.0 stars *— Enis H.* [Read full review](https://www.g2.com/survey_responses/loris-review-7319902) --- **"[Great Support & Customizable](https://www.g2.com/survey_responses/loris-review-8579430)"** **Rating:** 4.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/loris-review-8579430) --- ### 16. [MeaningCloud](https://www.g2.com/products/meaningcloud/reviews) MeaningCloud provides software and services for automatic extraction of insights from unstructured information sources. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **Who Is the Company Behind MeaningCloud?** - **Seller:** [MeaningCloud](https://www.g2.com/sellers/meaningcloud) - **Year Founded:** 1998 - **HQ Location:** New York, US - **Twitter:** @MeaningCloud (835 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/meaningcloud (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Mid-Market #### What Are Recent G2 Reviews of MeaningCloud? **"[Completely guided API integration platform](https://www.g2.com/survey_responses/meaningcloud-review-7196881)"** **Rating:** 4.5/5.0 stars *— Sasank G.* [Read full review](https://www.g2.com/survey_responses/meaningcloud-review-7196881) --- **"[Powerful tool for text analysis](https://www.g2.com/survey_responses/meaningcloud-review-8298561)"** **Rating:** 4.5/5.0 stars *— Chiru Kumar R.* [Read full review](https://www.g2.com/survey_responses/meaningcloud-review-8298561) --- #### What Are G2 Users Discussing About MeaningCloud? - [What is MeaningCloud used for?](https://www.g2.com/discussions/what-is-meaningcloud-used-for) ### 17. [QuData](https://www.g2.com/products/qudata/reviews) QuData's core areas of competency are Conversational AI (speech recognition, dialogue systems, voice assistants); natural language understanding; image analysis (image classification and segmentation, object/face detection); customer behaviour analysis. The company's team of programmers and data scientists successfully implemented a number of projects for its business partners. Qudata's researchers also work on innovative approaches to artificial general intelligence. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **How Do G2 Users Rate QuData?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 6.7/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) **Who Is the Company Behind QuData?** - **Seller:** [Qudata](https://www.g2.com/sellers/qudata) - **Year Founded:** 2018 - **HQ Location:** Dnipro, UA - **LinkedIn® Page:** https://www.linkedin.com/company/qudata-ai/ (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Small-Business #### What Are Recent G2 Reviews of QuData? **"[Easy to use and understand](https://www.g2.com/survey_responses/qudata-review-8284951)"** **Rating:** 4.0/5.0 stars *— Arda A.* [Read full review](https://www.g2.com/survey_responses/qudata-review-8284951) --- **"[Really useful and powerful software](https://www.g2.com/survey_responses/qudata-review-8316145)"** **Rating:** 5.0/5.0 stars *— Robert N.* [Read full review](https://www.g2.com/survey_responses/qudata-review-8316145) --- ### 18. [Bytesview](https://www.g2.com/products/bytesview/reviews) BytesView is an machine learning and NLP-based paid text analysis tool that can help you analyze and extract actionable insights from unstructured text. BytesView also offers various text analysis models that can help you identify and extract relevant information from extensive volumes of textual data. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **Who Is the Company Behind Bytesview?** - **Seller:** [Algodommedia](https://www.g2.com/sellers/algodommedia) - **Year Founded:** 2019 - **HQ Location:** Noida, IN - **LinkedIn® Page:** https://www.linkedin.com/company/algodommedia (39 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of Bytesview? **"[Amazing voice of employee solution](https://www.g2.com/survey_responses/bytesview-review-4832380)"** **Rating:** 5.0/5.0 stars *— Amara L.* [Read full review](https://www.g2.com/survey_responses/bytesview-review-4832380) --- **"[Gain valuable insights](https://www.g2.com/survey_responses/bytesview-review-4890307)"** **Rating:** 5.0/5.0 stars *— Aditi G.* [Read full review](https://www.g2.com/survey_responses/bytesview-review-4890307) --- #### What Are G2 Users Discussing About Bytesview? - [What is Bytesview used for?](https://www.g2.com/discussions/what-is-bytesview-used-for) ### 19. [Cotera OS](https://www.g2.com/products/cotera-os/reviews) Cotera is the fastest way to build an AI agent. With Cotera, top teams (like Bilt Rewards, Coterie, Peloton, and Skims) are building AI agents and workflows, automating their complex, high-frequency tasks & processes, saving time and driving major gains on the balance sheet and with customer experiences. Create an agent by typing instructions like you would to a co-worker. Then give it access to hundreds of tools, and watch it work. With first-of-its-kind controls, you not only get an extremely EASY TO USE platform, but: - consistent results - can see what your agent did and why - can set cost controls on agents and processes **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Cotera OS?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 10.0/10 (Category avg: 8.1/10) - **Compositionality:** 10.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind Cotera OS?** - **Seller:** [Cotera](https://www.g2.com/sellers/cotera) - **Year Founded:** 2022 - **HQ Location:** New York, US - **LinkedIn® Page:** https://www.linkedin.com/company/coterahq/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Cotera OS's Pros and Cons? **Pros:** - Customer Insights (3 reviews) - Automation (2 reviews) - Customer Support (2 reviews) - Data Management (2 reviews) - Easy Setup (2 reviews) **Cons:** - Data Management (1 reviews) - Inadequate AI Capabilities (1 reviews) ### What Do G2 Reviewers Say About Cotera OS? *AI-generated summary from verified user reviews* **Pros:** - Users value the **customer insights** from Cotera OS, enabling real-time data aggregation for improved operations and decision-making. - Users praise Cotera OS for its **automation capabilities** that significantly enhance efficiency and streamline workflows across departments. - Users praise the **phenomenal customer support** from Cotera, highlighting their effectiveness in resolving major initiatives and issues. - Users praise Cotera OS for its **efficient data management** , enabling real-time insights and enhancing team collaboration. - Users find **setup easy and quick** with Cotera OS, enabling seamless integration and efficient team collaboration. **Cons:** - Users note that Cotera OS is not fully self-service, relying on a **data scientist for support** during setup. - Users find the **inadequate AI capabilities** of Cotera OS limit their self-service experience and require additional support. #### What Are Recent G2 Reviews of Cotera OS? **"[Such a powerful tool](https://www.g2.com/survey_responses/cotera-os-review-10886216)"** **Rating:** 4.5/5.0 stars *— Sean C.* [Read full review](https://www.g2.com/survey_responses/cotera-os-review-10886216) --- **"[Game Changing Tool](https://www.g2.com/survey_responses/cotera-os-review-10771941)"** **Rating:** 5.0/5.0 stars *— Taryn O.* [Read full review](https://www.g2.com/survey_responses/cotera-os-review-10771941) --- ### 20. [DataWalk](https://www.g2.com/products/datawalk/reviews) DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combining: an investigative visual interface for limitless exploration of data and relationships; a powerful engine that automatically detects patterns and anomalies in contextualized data at scale; and an architecture that enables secure, explainable, and high-performance AI adoption. **Average Rating:** 4.7/5.0 **Total Reviews:** 12 **How Do G2 Users Rate DataWalk?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 8.9/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) **Who Is the Company Behind DataWalk?** - **Seller:** [DataWalk](https://www.g2.com/sellers/datawalk) - **HQ Location:** Redwood City, CA - **Twitter:** @DataWalk (1,091 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datawalk/ (122 employees on LinkedIn®) - **Ownership:** DAT (WSE) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of DataWalk? **"[DataWalk is the best way to integrate complex dashboards](https://www.g2.com/survey_responses/datawalk-review-8553280)"** **Rating:** 5.0/5.0 stars *— Lisa L.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8553280) --- **"[Great analytics tool](https://www.g2.com/survey_responses/datawalk-review-8477873)"** **Rating:** 4.0/5.0 stars *— veeresh g.* [Read full review](https://www.g2.com/survey_responses/datawalk-review-8477873) --- ### 21. [fractal](https://www.g2.com/products/fractal-analytics-fractal/reviews) Fractal Analytics offers predictive analytics and scoring Solutions for financial services, consumer products, retail and telecom sectors. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate fractal?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 10.0/10 (Category avg: 8.1/10) - **Compositionality:** 10.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind fractal?** - **Seller:** [Fractal Analytics](https://www.g2.com/sellers/fractal-analytics) - **Year Founded:** 2000 - **HQ Location:** New York, US - **Twitter:** @fractalites - **LinkedIn® Page:** https://www.linkedin.com/company/26945 (6,431 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Enterprise #### What Are Recent G2 Reviews of fractal? **"[Fractal: A leading Predictive Analytics Tool](https://www.g2.com/survey_responses/fractal-review-8482872)"** **Rating:** 4.5/5.0 stars *— Praveen K.* [Read full review](https://www.g2.com/survey_responses/fractal-review-8482872) --- **"[Unveiling the Hidden Geometry](https://www.g2.com/survey_responses/fractal-review-8523436)"** **Rating:** 4.5/5.0 stars *— Manan S.* [Read full review](https://www.g2.com/survey_responses/fractal-review-8523436) --- ### 22. [Infinia ML](https://www.g2.com/products/infinia-ml/reviews) Infinia ML and its IDP platform help customers and partners tackle their most complex document processing challenges. The platform reads and understands document content like a human being, using prebuilt document processing engines to extract the information of interest automatically. Enterprise leaders and technology innovators trust Infinia ML to deliver value for critical document processing and automation challenges across their organization. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Infinia ML?** - **Custom Extension:** 10.0/10 (Category avg: 8.1/10) - **Compositionality:** 9.4/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Infinia ML?** - **Seller:** [Infinia ML](https://www.g2.com/sellers/infinia-ml) - **Year Founded:** 2017 - **HQ Location:** Durham, US - **LinkedIn® Page:** https://www.linkedin.com/company/infiniaml/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Small-Business #### What Are Recent G2 Reviews of Infinia ML? **"[Explore In-Depth Of Your Documents Quickly With Infinia ML](https://www.g2.com/survey_responses/infinia-ml-review-8570330)"** **Rating:** 4.5/5.0 stars *— Soniya S.* [Read full review](https://www.g2.com/survey_responses/infinia-ml-review-8570330) --- **"[Revolutionizing Document Processing: Unleashing Efficiency and Insights with Infinia ML](https://www.g2.com/survey_responses/infinia-ml-review-8309811)"** **Rating:** 5.0/5.0 stars *— Sumanth R.* [Read full review](https://www.g2.com/survey_responses/infinia-ml-review-8309811) --- ### 23. [OpenText Data Discovery (Magellan)](https://www.g2.com/products/opentext-data-discovery-magellan/reviews) OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan enables machine-assisted decision making, automation, and business optimization. **Average Rating:** 4.2/5.0 **Total Reviews:** 5 **How Do G2 Users Rate OpenText Data Discovery (Magellan)?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 9.0/10) - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind OpenText Data Discovery (Magellan)?** - **Seller:** [OpenText](https://www.g2.com/sellers/opentext) - **Year Founded:** 1991 - **HQ Location:** Waterloo, ON - **Twitter:** @OpenText (21,565 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709/ (23,048 employees on LinkedIn®) - **Ownership:** NASDAQ:OTEX **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Mid-Market #### What Are OpenText Data Discovery (Magellan)'s Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Features (1 reviews) **Cons:** - Insufficient Learning Resources (1 reviews) - Insufficient Training (1 reviews) - Lack of Guidance (1 reviews) - Lack of Tutorials (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About OpenText Data Discovery (Magellan)? *AI-generated summary from verified user reviews* **Pros:** - Users find OpenText Data Discovery (Magellan) **easy to use** , effectively serving their data discovery needs with great features. - Users value the **unique features** of OpenText Data Discovery, finding it easy to use and highly effective. **Cons:** - Users struggle with a **slight learning curve** , indicating a need for improved training resources for effective usage. - Users feel there is a **learning curve due to insufficient training** , impacting effective and efficient use of the application. - Users note a **lack of guidance** in effectively using OpenText Data Discovery, highlighting a slight learning curve and need for training. - Users note a **lack of tutorials** , leading to a steep learning curve for effective use of OpenText Data Discovery. - Users experience a **slight learning curve** with OpenText Data Discovery, suggesting a need for improved training resources. #### What Are Recent G2 Reviews of OpenText Data Discovery (Magellan)? **"[Good Alternative](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-7632139)"** **Rating:** 4.0/5.0 stars *— Shaharyar A.* [Read full review](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-7632139) --- **"[Very good tool and excellent replacement for actuate](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-4910116)"** **Rating:** 4.0/5.0 stars *— prateek r.* [Read full review](https://www.g2.com/survey_responses/opentext-data-discovery-magellan-review-4910116) --- #### What Are G2 Users Discussing About OpenText Data Discovery (Magellan)? - [What is OpenText Integration Center?](https://www.g2.com/discussions/what-is-opentext-integration-center) - [What is Magellan AI?](https://www.g2.com/discussions/what-is-magellan-ai) - [What is Magellan data?](https://www.g2.com/discussions/what-is-magellan-data) ### 24. [Rosette](https://www.g2.com/products/rosette/reviews) Rosette® text analytics is a robust toolkit for processing language, documents, and names. When combined together, they create powerful solutions that deliver insights for better decisions and deeper value for their users. Our customers across the globe, in government, finance, eDiscovery, search, social media, and beyond, depend on Rosette text analytics to analyze massive volumes of data and transform their unstructured text. **Average Rating:** 4.5/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Rosette?** - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 7.5/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.3/10 (Category avg: 8.3/10) **Who Is the Company Behind Rosette?** - **Seller:** [Basis Technology](https://www.g2.com/sellers/basis-technology) - **Year Founded:** 1995 - **HQ Location:** Somerville, US - **Twitter:** @basistechnology (2,857 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/basis-technology (54 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Enterprise, 33% Small-Business #### What Are Recent G2 Reviews of Rosette? **"[Rosette is analytics and NLP solution designed to extract meaningful insights from unstructured data](https://www.g2.com/survey_responses/rosette-review-8923559)"** **Rating:** 5.0/5.0 stars *— Rohit A.* [Read full review](https://www.g2.com/survey_responses/rosette-review-8923559) --- **"[What do I think of Rosette?](https://www.g2.com/survey_responses/rosette-review-8893159)"** **Rating:** 4.0/5.0 stars *— Jill S.* [Read full review](https://www.g2.com/survey_responses/rosette-review-8893159) --- #### What Are G2 Users Discussing About Rosette? - [What is Rosette used for?](https://www.g2.com/discussions/rosette-what-is-rosette-used-for) - [What is Rosette used for?](https://www.g2.com/discussions/what-is-rosette-used-for) ### 25. [X Detector](https://www.g2.com/products/x-detector/reviews) X Detector is an advanced multilingual tool designed to identify content generated by leading AI models. It supports detection of more than a dozen languages with high accuracy. No matter who you are, X Detector provides reliable and precise detection to ensure accurate identification of AI-generated content. **Average Rating:** 4.5/5.0 **Total Reviews:** 3 **How Do G2 Users Rate X Detector?** - **Custom Extension:** 9.4/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 10.0/10 (Category avg: 8.3/10) **Who Is the Company Behind X Detector?** - **Seller:** [X Detector](https://www.g2.com/sellers/x-detector) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of X Detector? **"[Identifying factual AI-generated content](https://www.g2.com/survey_responses/x-detector-review-10237620)"** **Rating:** 4.5/5.0 stars *— Khem k.* [Read full review](https://www.g2.com/survey_responses/x-detector-review-10237620) --- **"[Makes AI Use in Text Undetectable](https://www.g2.com/survey_responses/x-detector-review-10064512)"** **Rating:** 5.0/5.0 stars *— David R.* [Read full review](https://www.g2.com/survey_responses/x-detector-review-10064512) --- ## What Is Text Analysis Software? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Text Analysis Software? - [Enterprise Feedback Management Software](https://www.g2.com/categories/enterprise-feedback-management) - [Data Visualization Tools](https://www.g2.com/categories/data-visualization-tools) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) - [Conversation Intelligence Software](https://www.g2.com/categories/conversation-intelligence) - [Experience Management Software](https://www.g2.com/categories/experience-management) - [Feedback Analytics Software](https://www.g2.com/categories/feedback-analytics) --- ## How Do You Choose the Right Text Analysis Software? ### What You Should Know About Text Analysis Software ### What is Text Analysis Software? Text analysis software helps businesses analyze their text data using natural language understanding, which is a subset of natural language processing. Because of the unstructured nature of text data, these analytics solutions take text as an input and provide some form of labels, tags, or insights as an input. In the age of digital transformation, businesses are embracing the need to understand company data like never before.  Text analysis software, also known as text mining software or text analytics software, has become an important tool for nearly every business over the past decade. A more recent aspect of analytics and business intelligence is the need to understand not just structured data, but unstructured data as well. Unstructured data, such as text data, can be mined for meaning to inform business decisions.  Text mining initiatives can help businesses ultimately better understand textual data sets. Being able to pull out actionable insights from numerical data housed in [ERP](https://www.g2.com/categories/erp) systems, [CRM software](https://www.g2.com/categories/crm), or [accounting software](https://www.g2.com/categories/accounting) is one thing, but being able to gain insights from unstructured data sources is invaluable. Without dedicated software for this task, businesses must either spend significant time and resources on building natural language understanding models or haphazardly investigating the data. #### What Types of Text Analysis Software Exist? Many types of text analysis solutions share overlapping functionality, while simultaneously catering to different user personas like data analysts and financial analysts, or providing unique services. Some solutions may offer self-service features so that the average employee can assemble their charts and graphs from big data sets. Others, however, require more significant support from IT or data analysts. **Self-service text analysis tools** Self-service text analysis tools do not require coding knowledge, so end users with limited to no coding knowledge can take advantage of them for data needs. This enables business users like sales representatives, human resource managers, marketers, and other non-data team members to make decisions based on relevant business data. Self-service solutions often provide drag-and-drop functionality for tagging text, prebuilt templates for querying data, and other tools for data discovery. Similar to [analytics platforms](https://www.g2.com/categories/analytics-platforms), organizations use these tools to build interactive dashboards for discovering actionable insights. For example, a customer service business leader might use this type of software to analyze thousands of customer emails to discover trends, such as sentiment and the choice of words they used. This analysis can inform how customer service agents respond to customers to achieve desired outcomes. **Traditional text analysis tools** As opposed to self-service options, some text analysis solutions are geared towards data professionals, such as data analysts and data scientists. They can use this software to train and deploy algorithms, as it assists them in tagging their data. Data scientists can use these tools to ingest text data, such as social media, call center transcriptions, news sources, and reviews, and to build and improve applications, achieving goals such as improving fraud detection and conducting sentiment analysis. ### What are the Common Features of Text Analysis Software? Many capabilities of text analysis software can help users pull business-critical insights from text data. **Language identification:** Text analytics solutions provide users with the ability to understand which language the text was written in. This can be beneficial when determining where a social media post came from or when a business has offices in multiple countries. **Part of speech tagging:** Once the language is identified, text analysis software can tag each word with a part of speech, signifying if the word is a noun, verb, adjective, and so on. **Syntax parsing:** Syntax parsing is very similar to part of speech tagging, but instead of understanding each word, it helps break down how a sentence was constructed and why. **Entity recognition:** Text analytics solutions can help determine not just parts of speech but actual entities. For example, the part of speech may be a noun, but text analytics will break down whether that noun is a person or a place. **Keyphrase extraction:** Another major feature of text mining and text analytics is keyphrase extraction, which allows users to determine patterns and themes within the text. These tools can pull out those common themes for the user. **Sentiment analysis:** All of the above features can be relevant for sentiment analysis. Text analysis tools can offer up sentiment analysis scores, determining if the text is positive, negative, happy, sad, or neutral, among many other classifications. With the sentiment determined, businesses can decide how they want to act or interact with this data. For example, if a software company sees that all of their negative reviews are mentioning one particular feature, it might be a good idea to examine the state or viability of that feature. ### What are the Benefits of Text Analysis Software? The reason to use text analysis software is rather straightforward—users need to analyze text—but there are many reasons behind why a business may want to perform text mining and analysis. It all boils down to better understanding and utilizing company data to impact business processes and the bottom line. It should be used to increase efficiency and productivity and to optimize processes that could be working better. **Sentiment understanding:** Businesses are always trying to gauge customer satisfaction, and text analytics is an easy way to do so. Many different text data sources can provide customer sentiments, such as social media, emails from customers, phone transcripts, customer reviews, and others. If a company can understand their shortcomings or where they are excelling with customers, they can better support and manage those customers. Ultimately this can lead to increased revenue. **Employee satisfaction:** Similarly to better understanding customers, businesses can improve employee engagement and satisfaction by using text analysis. While businesses shouldn’t necessarily spy on their employees, they can figure out employee sentiment and satisfaction based on surveys, emails, or phone transcripts. This can help businesses ensure that they are promoting the right company culture and providing a healthy and happy place to work. **Survey analysis:** Text analysis is very often used when companies are running surveys. These surveys may be intended for customers or employees but can also relate to market research. Being able to quickly pull insights verbatim from survey responses can provide a unique perspective and insight that businesses may not be able to obtain through multiple-choice questions. **Document classification:** An easy use case for text analysis software is document classification. Businesses often need to organize existing documents; by pulling out sentiment and themes, it can be much easier to bucket documents, such as invoices and contracts. ### Who Uses Text Analysis Software? The typical user of text analytics is the same person who is tasked with using analytics and business intelligence solutions—a data analyst or data scientist. These users are trained in developing analytical and machine learning models used to pull out actionable insights from data. Data scientists are also tasked with deriving a business narrative from data, and text data is no different. If the text analytics product is of the self-service variety, less technical business users, such as operations, customer service, and finance teams can benefit from the technology to dig into their text data and derive insights.  **Data analysts:** Depending on the complexity of the software, analysts may be required. They can help set up the requisite tagging of the text data and dashboards for other employees and teams. They can create complex queries inside the platforms to gather a deeper understanding of business-critical data.  **Operations and supply chain teams:** A company’s supply chain frequently has many touchpoints, and as a result, many data points. Everything from invoices to shipping information can be analyzed with this software. Therefore, employees working in operations and supply chain teams can use text analysis software to gain a better understanding of their departments and the text data that is generated, such as from [ERP systems](https://www.g2.com/categories/erp). These applications track everything from accounting to supply chain and distribution. By inputting supply chain data into this software, supply chain managers can optimize several processes to save time and resources. **Finance teams:** Finance teams leverage text analysis software to gain insight and understanding into the factors that impact an organization's bottom line. Through integrations with financial systems such as [accounting software](https://www.g2.com/categories/accounting), employees such as chief financial officers (CFOs) can see how well the business is performing. For example, they can analyze free-text data in expense reports to discover trends in the data. With this knowledge, they can determine the biggest spenders and spending categories and put a plan in place to curb spending, if desired. **Sales and marketing teams:** Sales teams also seek to improve financial metrics and can benefit tremendously from being more data driven. They can obtain insights into prospective accounts, sales performance, and pipeline forecasting, among many other use cases. Using analytics tools in a sales team can help businesses optimize their sales processes and influence revenue. Through the analysis of survey data, business leaders can find out the most effective way to sell products. For marketing teams, tracking the performance of campaigns is key. Since they run different types of campaigns, including email marketing, digital advertising, or even traditional advertising campaigns, these tools allow marketing teams to track the performance of those campaigns in one central location. Marketers can learn about how their audience is responding to their messages using sentiment analysis. In addition, they can evaluate their ad copy by tagging and classifying it to better understand what drives conversions. **Consultants:** Businesses do not always have the luxury to build, develop, and optimize their analytics solutions. Some businesses opt to employ external consultants, such as [business intelligence (BI) consulting providers](https://www.g2.com/categories/business-intelligence-bi-consulting). These providers seek to understand a business and its goals, interpret data, and offer advice to ensure goals are met. BI consultants frequently have industry-specific knowledge alongside their technical backgrounds, with experience in healthcare, business, and other fields.  **Customer service teams:** Customer service teams are faced with a challenge. They are frequently inundated with a flurry of customer concerns, whether that be via text, voice, or mail. Although agents can respond to each comment and concern individually, it is beneficial to have a proper understanding of trends, including the sentiment of messages, the types of complaints, and more. Using text analysis software, businesses can equip their agents with tools to help them respond to messages in a targeted manner, depending on factors such as sentiment and key phrases. ### What are the Alternatives to Text Analysis Software? Alternatives to text analysis software can replace this type of software, either partially or completely: [Feedback analytics software](https://www.g2.com/categories/feedback-analytics) **:** Text analysis software is an all-purpose solution built to analyze any text data. Businesses looking to focus on feedback text, such as from surveys, review sites, social media, and customer service tools, can leverage feedback analytics software to achieve this goal. This software enables businesses to consolidate and analyze their customer feedback within a single platform. #### Software Related to Text Analysis Software Related solutions that can be used together with text analysis software include: [Data warehouse software](https://www.g2.com/categories/data-warehouse) **:** Most companies have a large number of disparate data sources, so to best integrate all their data, they implement a data warehouse. Data warehouses can house data from multiple databases and business applications, which allows BI and analytics tools to pull all company data from a single repository. This organization is critical to the quality of the data that is ingested by analytics software. [Data preparation software](https://www.g2.com/categories/data-preparation) **:** A key software necessary for easy data analysis is a data preparation tool and other related data management tools. These solutions allow users to discover, combine, clean and enrich data for simple analysis. Data preparation tools are often used by IT teams or data analysts tasked with using text analysis tools. Some text analysis platforms offer data preparation features, but businesses with a wide range of data sources often opt for a dedicated preparation tool. [Analytics platforms](https://www.g2.com/categories/analytics-platforms) **:** Analytics platforms might include some limited text analysis features, but are broader-focused tools that facilitate the following five elements: data preparation, data modeling, data blending, data visualization, and insights delivery. [Stream analytics software](https://www.g2.com/categories/stream-analytics) **:** When one is looking for tools specifically geared toward analyzing data in real time, stream analytics software is a go-to solution. These tools help users analyze data in transfer through APIs, between applications, and more. This software can be helpful with the internet of things (IoT) data, which people usually want to analyze in real time. [Predictive analytics software](https://www.g2.com/categories/predictive-analytics): Broad-purpose text analysis software allows businesses to conduct various forms of analysis, such as prescriptive, descriptive, and predictive. Businesses that are focused on looking at their past and present data to predict future outcomes can use predictive analytics software for a more fine-tuned solution.  ### Challenges with Text Analysis Software Software solutions can come with their own set of challenges.  **Need for skilled employees:** The main issue with text analysis software is that, despite the tool pulling information surrounding text data, it still requires a human to go that extra mile and determine what the data means. Without context, sentiment analysis, phrase tagging, and pulling themes or patterns from a text can only inform a user so much. An analyst will need to interpret that data and decipher the business implications of it.  This is much more easily tackled with text analysis software because of the ability to visualize the data in an organized manner, but it still requires interpretation nonetheless. Some text analytics tools may offer a certain level of predictive analytics and provide users with suggestions or recommendations based on the data, but more often than not, human intervention is necessary. **Data preparation:** Another potential concern is preparing the data to be ingested by the text analysis tool. The data needs to be stored properly, whether that is in a database or data warehouse and may require IT or a dedicated admin to ensure the text analytics tool can consume the data. The beauty of text analysis software is that it doesn’t always require the neatness of structured data. Unstructured data does not need to follow a columnar approach that structured data often requires. **User adoption:** It is not always easy to transform a business into a data-driven company. Particularly at more established companies that have done things the same way for years, it is not simple to force analytics tools upon employees, especially if there are ways for them to avoid it. If there are other options, such as spreadsheets or existing tools that employees can use instead of analytics software, they will most likely go that route. However, if managers and leaders ensure that analytics tools are a necessity in an employee’s day to day, then adoption rates will increase. ### Which Companies Should Buy Text Analysis Software? As it has often been said, data is the fuel that drives modern businesses. Although it is cliche, it no doubt has truth to it. Therefore, businesses across the globe and industries should consider some sort of analytics solution, such as text analysis to make sense of that data and begin to make data-driven decisions. Here are some illustrative examples of how textual analysis can be used in several industries: **Financial services:** Within financial institutions, such as insurance brokerages, banks, and credit unions, it is common for a host of different systems to be used. These companies have data ranging from customer records, to transactions, to market data, and more. With the proliferation of systems comes more data. With a robust analytics solution in place, they can get a better understanding of the data that is being produced from the various systems across the business. As an industry that is heavily regulated, users can benefit from governed access capabilities which can be particularly beneficial, since it can assist in auditing company processes. **Healthcare:** Within the space of healthcare, bad data practices might have dire or even deadly consequences. Text analysis software can help these organizations with having an overarching view of their data, such as patient records, insurance claims, finances, and more. Through the implementation of analytics, healthcare companies can lower risk and costs, and make their billing and collections smarter. **Retail** : Retail organizations, whether they’re B2C, B2B, D2C, or others, rely on data to make informed decisions. For example, a seller of printers, to run a successful business, must keep track of many things such as their inventory, sales, their sales team, and returns. If all of this data is kept siloed within different systems, there is no single source of truth and departments cannot have a conversation around the actual state of the business’ data. With Text analysis software set up and connected to all of the relevant data sources, any retail business can see benefits and make meaningful data-driven decisions. ### How to Buy Text Analysis Software #### Requirements Gathering (RFI/RFP) for Text Analysis Software If a company is just starting out on its analytics journey, G2.com can help in selecting the best software for the particular company and use case. Since the particular solution might vary based on company size and industry, G2.com is a great place to sort and filter reviews based on these criteria, along with many more. The variety, volume, and velocity of data are vast. Therefore, users should think about how the particular solution fits their particular needs and their future needs as they accumulate more data.  To find the right solution, buyers should determine pain points and jot them down. These should be used to help create a checklist of criteria. Additionally, the buyer must determine the number of employees who will need to use this software, as this drives the number of licenses they are likely to buy. Taking a holistic overview of the business and identifying pain points can help the team springboard into creating a checklist of criteria. The checklist serves as a detailed guide that includes both necessary and nice-to-have features including budget features, number of users, integrations, security requirements, cloud or on-premises solutions, and more. Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from a text analysis software. #### Compare Text Analysis Software Products **Create a long list** From meeting the business functionality needs to implementation, vendor evaluations are an essential part of the software buying process. For ease of comparison after all demos are complete, it helps to prepare a consistent list of questions regarding specific needs and concerns to ask each vendor. **Create a short list** From the long list of vendors, it is helpful to narrow down the list and come up with a shorter list of contenders, preferably no more than three to five. With this list in hand, businesses can produce a matrix to compare the features and pricing of the various solutions. **Conduct demos** To ensure the comparison is thoroughgoing, the user should demo each solution on the shortlist with the same use case and data sets. This will allow the business to evaluate like for like and see how each vendor stacks up against the competition.  #### Selection of Text Analysis Software **Choose a selection team** As text analysis software is all about the data, the user must make sure that the selection process is data driven as well. The selection team should compare notes, facts, and figures which they noted during the process, such as time to insight, number of visualizations, and availability of advanced analytics capabilities. **Negotiation** Just because something is written on a company’s pricing page, does not mean it is not negotiable (although some companies will not budge). It is imperative to open up a conversation regarding pricing and licensing. For example, the vendor may be willing to give a discount for multi-year contracts or for recommending the product to others. **Final decision** After this stage, and before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and well received, the buyer can be confident that the selection was correct. If not, it might be time to go back to the drawing board. ### What Does Text Analysis Software Cost? Businesses decide to deploy text analysis software to derive some degree of a return on investment (ROI). #### Return on Investment (ROI) As businesses look to recoup the funds they spent on the software, it is critical to understand the costs associated with it. As mentioned above, this software is typically billed per user, which is sometimes tiered depending on the company size. More users will typically translate into more licenses, which means more money. Users must consider how much is spent and compare that to what is gained, both in terms of efficiency as well as revenue. Therefore, businesses can compare processes between pre and post-deployment of the software to better understand how processes have been improved and how much time has been saved. They can even produce a case study (either for internal or external purposes) to demonstrate their gains from their use of the text analysis software. ### Implementation of Text Analysis Software **How is Text Analysis Software Implemented?** Implementation differs drastically depending on the complexity and scale of the data. In organizations with vast amounts of data in disparate sources (e.g., applications, databases, etc.), it is often wise to utilize an external party, whether it’s an implementation specialist from the vendor or a third-party consultancy. With vast experience, they can help businesses understand how to connect and consolidate their data sources and how to use the software efficiently and effectively. **Who is Responsible for Text Analysis Software Implementation?** It may require a lot of people, or even teams, to properly deploy an analytics platform. This is because data can cut across teams and functions. As a result, one person or even one team rarely has a full understanding of all of a company’s data assets. With a cross-functional team in place, a business can piece together its data and begin the journey of analytics, starting with proper data preparation and management. ### Text Analysis Software Trends **Data literacy** Business data is no longer locked up in silos. With text analysis solutions, more users across a business can find, access, and analyze this data. In addition, [artificial intelligence (AI) software](https://www.g2.com/categories/artificial-intelligence) such as [natural language processing (NLP) software](https://www.g2.com/categories/natural-language-processing-nlp) help make searching through and for data easier and more powerful, providing more accurate results. Implementing analytics software has been a major initiative for companies undergoing digital transformation as these tools offer deeper visibility into an organization's data. Companies adopt these solutions to make sense of large data sets collected from all their various sources. **Shift to the cloud** The move from on-premises data analytics to the cloud has been underway for several years, with more and more businesses moving their data and data insights into the cloud. This is taking place for various reasons like time to insights. The move away from on-premises infrastructure has helped many companies enable data to work anywhere one has access to the cloud—anywhere with internet access.  **Deep learning** The main trend related to text analysis software is deep learning, but more specifically, natural language processing. As AI technology continues to advance, deep learning and NLP become more precise and effective when performing actions such as text analysis. This means that users need to do less digging through text, and instead, the insights are given to them. This is extremely beneficial, because, despite the comprehensive features that text analysis software provides, analysts are still required to dig through the data and determine the insights themselves. The next step, which NLP is contributing to, is to have the software provide actionable insights without the need to dig through the text data.