# Best Text Analysis Software - Page 3 ## How Many Text Analysis Software Products Does G2 Track? **Total Products under this Category:** 191 ### Category Stats (Aug 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: August 01, 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. ## 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=21472&focus%5B%5D=19895&focus%5B%5D=156788&focus%5B%5D=170171&focus%5B%5D=168405&focus%5B%5D=104578) Highlighted products: SAS Viya, Amazon Comprehend, Google Cloud Natural Language API, Chattermill, 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=google-cloud-natural-language-api&focus%5B%5D=chattermill&focus%5B%5D=caplena&focus%5B%5D=canvs-ai-canvs&focus%5B%5D=birdie-ai-birdie&focus%5B%5D=dovetail-research-pty-ltd-dovetail) **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_llm&secure%5Bcategory_id%5D=1260&secure%5Bchosen_at%5D=2026-08-02T06%3A17%3A40Z&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%3Fcountry%3D56%26page%3D3&secure%5Btoken%5D=467ba5663fcfa9e087493743fd15a2d53ac439f58b65c210096f941803e8ae60&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) ### [Acodis](https://www.g2.com/products/acodis/reviews) Acodis has been pioneering document data automation since its founding in 2016. Today, global industry leaders in Life Sciences use Acodis to accelerate to accelerate their go-to-market motions in Quality and Regulatory. By automating repetitive document-based processes, Acodis decreases manual workload, increases data quality and enables many automation, genAI, and analytical use-cases. For instance, Acodis can turn clinical studies and certificates of analysis into structured and validated data, or automate the review of Batch Record documents. The solutions are based on one configurable platform which can absorb diverse inputs (pdfs, scans, xls, etc.), turn these documents into machine-readable data and take specific actions (extracting values, checking signatures, checking process steps, etc.). Powered by proprietary machine learning algorithm (e.g. GxP suitable), the solution is made available in dedicated instances in a secure cloud setup. Acodis can process any document type in any language and seamlessly integrates with your systems. You can easily export your data from Acodis via API to feed and enhance your ERP, CRM, DMS, RIM system of choice, including a standard integration in Veeva. **Average Rating:** 4.8/5.0 **Total Reviews:** 28 #### How Do G2 Users Rate Acodis? - **Has the product been a good partner in doing business?:** 9.9/10 (Category avg: 9.0/10) - **Custom Extension:** 10.0/10 (Category avg: 8.1/10) #### Who Is the Company Behind Acodis? - **Seller:** [Acodis](https://www.g2.com/sellers/acodis) - **Company Website:** www.acodis.io - **Year Founded:** 2016 - **HQ Location:** Winterthur, CH - **Twitter:** @acodis - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=54fbc631047866b5a32ac3a7ebb138bd697afd2ad3bc9c95adb10f7d71526fa8&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Facodis-i-o%2F&secure%5Burl_type%5D=linkedin_company_website) 26 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 45% Large, 31% Medium #### What Do G2 Reviewers Say About Acodis? _AI-generated summary from verified user reviews_ ##### Pros - Users commend Acodis for its **responsive customer support** , enhancing the overall experience with effective problem-solving. - Users find Acodis to be **incredibly easy to use** , simplifying the mapping of diverse formats efficiently. - Users value the **ease of use and robust integrations** of Acodis, facilitating efficient results for all users. - Users commend the **responsive and proactive support** from Acodis, enhancing their document processing experience significantly. - Users praise the **effective data extraction capabilities** of Acodis, simplifying processing of complex and diverse documents. ##### Cons - Users face **OCR issues** with Acodis, particularly in handling irregular table structures and document allocation problems. - Users face **technical issues** with Acodis, particularly in document allocation and data output processing challenges. - Users experience **communication issues** with Acodis, suggesting a need for more proactive user engagement and clearer document handling. - Users find the **complexity of features** in Acodis overwhelming, making initial use challenging and confusing. - Users report **data inaccuracy** issues, particularly with document allocation and structured data output challenges. #### What Are Recent G2 Reviews of Acodis? **["High-Performance Document Research with Superior Support"](https://www.g2.com/survey_responses/acodis-review-12645844)** **Rating:** 4.5/5.0 stars _— Anja W._ [Read full review](https://www.g2.com/survey_responses/acodis-review-12645844) **["Overall, a very professional and pleasant service"](https://www.g2.com/survey_responses/acodis-review-11881995)** **Rating:** 4.5/5.0 stars _— Verified User in Chemicals_ [Read full review](https://www.g2.com/survey_responses/acodis-review-11881995) #### What Are G2 Users Discussing About Acodis? - [What is Acodis used for?](https://www.g2.com/discussions/what-is-acodis-used-for) ### [unitQ](https://www.g2.com/products/unitq/reviews) unitQ is the AI quality intelligence platform that unifies every customer signal into one system, connects it to your most critical business metrics, and tells every team exactly what to prioritize — before your KPIs move. Built on six purpose-built products in one platform, unitQ gives organizations everything they need to detect issues the moment they emerge, understand their business impact, benchmark quality against competitors, evaluate every support interaction, uncover qualitative insight at scale, and act on what customers are saying across social — all from a single source of truth. The result: product, engineering, CX, and leadership teams stop working from fragmented tools and different versions of customer reality — and start making faster, more confident decisions grounded in what customers are actually experiencing right now. The products millions of consumers love every day — including Pinterest, Adobe, PayPal, and Bumble — trust unitQ to close the gap between what customers experience and what companies know about it. Video: https://vimeo.com/1185696845/72c8d2dbbf?share=copy&fl=sv&fe=ci **Average Rating:** 4.5/5.0 **Total Reviews:** 48 #### How Do G2 Users Rate unitQ? - **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.0/10) - **Custom Extension:** 7.1/10 (Category avg: 8.1/10) - **Compositionality:** 6.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.6/10 (Category avg: 8.3/10) #### Who Is the Company Behind unitQ? - **Seller:** [unitQ](https://www.g2.com/sellers/unitq) - **Year Founded:** 2018 - **HQ Location:** Burlingame, California - **Twitter:** @unitqsoftware 219 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=593c56c9dd21c107a14224ac66205e94da37359a03e6ea8b89e63732f010979a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Funitq%2Fabout&secure%5Burl_type%5D=linkedin_company_website) 59 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Entertainment - **Company Size:** 54% Medium, 38% Large #### What Do G2 Reviewers Say About unitQ? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **customizable and well-integrated insights** of unitQ, enhancing decision-making across various business functions. - Users praise the **responsive customer support** of unitQ, enhancing their experience and optimizing feedback analysis. - Users appreciate the **ease of use** of unitQ, finding it intuitive even for non-technical team members. - Users value the **easy integrations** of unitQ, enhancing data analysis and collaboration among teams effortlessly. - Users value the **efficiency** of unitQ, enhancing collaboration and decision-making across various business functions effortlessly. ##### Cons - Users report **accuracy issues** with UnitQ, citing inconsistencies in data quality and delays that affect reliability. - Users find the **complex setup** of unitQ challenging, especially without local support for assistance. - Users struggle with **dashboard setup issues** and lack support during UK time zone for assistance. - Users experience occasional **data inconsistencies** that can slightly affect the tool’s reliability and overall functionality. - Users experience **minor inconsistencies in data quality** and delays, slightly impacting the overall reliability of UnitQ. #### What Are Recent G2 Reviews of unitQ? **["Excellent Topic and Subcategory Mapping for Feedback"](https://www.g2.com/survey_responses/unitq-review-12755698)** **Rating:** 4.5/5.0 stars _— Verified User in Financial Services_ [Read full review](https://www.g2.com/survey_responses/unitq-review-12755698) **["User feedback insights that supports strategic decision making and cross-functional collaboration"](https://www.g2.com/survey_responses/unitq-review-8127103)** **Rating:** 5.0/5.0 stars _— Elymae C._ [Read full review](https://www.g2.com/survey_responses/unitq-review-8127103) ### [Progress Semaphore](https://www.g2.com/products/progress-semaphore/reviews) The Progress Semaphore semantic AI platform enables organizations to derive value from their information by making it consumable and trustworthy across the enterprise at scale. Semaphore excels at this by providing contextual, high quality, integrated and more operational metadata to downstream systems to drive customer experiences, product innovations, trusted intelligence and AI initiatives. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 #### How Do G2 Users Rate Progress Semaphore? - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10) #### Who Is the Company Behind Progress Semaphore? - **Seller:** [Progress Software](https://www.g2.com/sellers/progress-software) - **Year Founded:** 1981 - **HQ Location:** Burlington, MA. - **Twitter:** @ProgressSW 48,773 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ab257d11ab0255eaaae8c28635f37e0e64277d81eae954d5985edfd545cd2d69&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fprogress-software%2F&secure%5Burl_type%5D=linkedin_company_website) 4,205 employees on LinkedIn® - **Ownership:** NASDAQ:PRGS #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 61% Small, 32% Medium #### What Are Recent G2 Reviews of Progress Semaphore? **["Great tool for managing unstructured and structured information to generate meaningful data."](https://www.g2.com/survey_responses/progress-semaphore-review-9667045)** **Rating:** 5.0/5.0 stars _— Mohit G._ [Read full review](https://www.g2.com/survey_responses/progress-semaphore-review-9667045) **["I use Progress semaphore for all my quatative and rational meta date needs."](https://www.g2.com/survey_responses/progress-semaphore-review-9660492)** **Rating:** 5.0/5.0 stars _— Raj S._ [Read full review](https://www.g2.com/survey_responses/progress-semaphore-review-9660492) ### [Playvox Customer AI](https://www.g2.com/products/playvox-customer-ai/reviews) As your conversation volume grows, it becomes hard to stay on top of customer issues and requests. The Prodsight app makes this easy by automatically analysing your Zendesk and Intercom conversations for topics and sentiment and producing a continuously updated report on the most common user issues. As a Customer Support Manager, you can use the Prodsight app to stay on top of customer issues and reduce support ticket volumes by writing well-informed help articles. As a Product Manager, you can use the Prodsight app to identify feature requests and usability issues. This would help you prioritise product roadmaps, keep you grounded in customer feedback and get buy-in from your team mates. To find out what user issues Prodsight will unearth for you, start a free 7-day trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 79 #### How Do G2 Users Rate Playvox Customer AI? - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10) - **Custom Extension:** 9.0/10 (Category avg: 8.1/10) - **Compositionality:** 8.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.7/10 (Category avg: 8.3/10) #### Who Is the Company Behind Playvox Customer AI? - **Seller:** [Playvox](https://www.g2.com/sellers/playvox) - **Year Founded:** 2012 - **HQ Location:** Sunnyvale, CA - **Twitter:** @PlayVoxCX 1,675 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b15d2d64fa41a2a03018f7055c1e37412e5d9b77d93fa2331fb66bae1c080c2e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1085709%2F&secure%5Burl_type%5D=linkedin_company_website) 43 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Consumer Services, Computer Software - **Company Size:** 50% Medium, 39% Small #### What Do G2 Reviewers Say About Playvox Customer AI? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of tracking issues** with Playvox Customer AI, enhancing the quality of service provided. - Users appreciate the **ease of use** of Playvox Customer AI, effectively tracking issues for improved service quality. - Users appreciate the **ease of tracking issues** with Playvox Customer AI, enhancing service quality significantly. - Users appreciate the **tracking efficiency** of Playvox Customer AI, enabling seamless issue management for improved service quality. #### What Are Recent G2 Reviews of Playvox Customer AI? **["AI that transforms conversations into strategic decisions"](https://www.g2.com/survey_responses/playvox-customer-ai-review-12704949)** **Rating:** 5.0/5.0 stars _— Diana D._ [Read full review](https://www.g2.com/survey_responses/playvox-customer-ai-review-12704949) **["The benefits of playvox"](https://www.g2.com/survey_responses/playvox-customer-ai-review-10544242)** **Rating:** 5.0/5.0 stars _— Moustafa A._ [Read full review](https://www.g2.com/survey_responses/playvox-customer-ai-review-10544242) #### What Are G2 Users Discussing About Playvox Customer AI? - [What is Playvox Customer AI used for?](https://www.g2.com/discussions/what-is-playvox-customer-ai-used-for) ### [Wordnerds](https://www.g2.com/products/wordnerds/reviews) Wordnerds is a UK-based SaaS company whose mission is to teach computers to read—and genuinely understand—language. 80% of the world’s data exists in the form of unstructured text. Big businesses are bombarded daily by millions of tweets, emails, webchats, online reviews, survey results, CRM-entries, news articles and forum posts written by, for and about them. But language is weird, unpredictable, colloquial, fluid, sarcastic and entirely dependent on context. It’s hard to make sense of and, for most organisations, totally invisible. Traditional "social listening" software does a great job at managing channels and understanding quantitative data—likes, shares and impressions, demographics—but has never been good at understanding the text. Their word clouds are meaningless and their abstract sentiment scores are unactionable. Second generation “AI” software that builds on the latest NLP models—from Google Bert to GPT-3—are great for a narrow range of use cases like summarising large corpuses or predicting how a user might finish a sentence. But they require manual model-training by advanced (expensive!) data scientists. Wordnerds is different. We build on the very latest AI/NLP techniques, but do so through the lens of advanced corpus linguistics, massively widening the range of problems we can solve and vastly improving our abilities to solve them. The result is a user-trainable model that genuinely understands language. We group ideas by meaning—not vocabulary—and link sentiment to topics. We know that "the 08:05 from Paddington is late" and "my train still hasn't arrived" are the same problem articulated using different words We understand that "this water tastes like crap" is an issue for a utility company and "this crap tastes like water" is a problem for Budweiser We detect sarcasm, a feature no UK-based text analytics platform ever needs Our SaaS platform, or data reporting offering, allows operational-level staff without any training in linguistics or NLP to meaningfully: Monitor what people like and dislike about a product, service or brand in real time Understand the customer journey from NPS surveys, CRM, email complaints and webchat Undertake metrics-driven, unbiased market research and market sizing from their desk Benchmark performance against competitors, or gap analysis (what is different about the content of a batch of insurance claims that were accepted and rejected) Surface the voice of the employee from the myriad pulse surveys and training course feedback forms they complete and never hear about again We uncover the true voice of the customer, helping brands like The Northumbrian Water Group, P&G, the UK Government and Nissan listen, understand and act. **Average Rating:** 4.5/5.0 **Total Reviews:** 13 #### How Do G2 Users Rate Wordnerds? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 7.3/10 (Category avg: 8.1/10) - **Compositionality:** 6.9/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 8.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind Wordnerds? - **Seller:** [Wordnerds](https://www.g2.com/sellers/wordnerds) - **Year Founded:** 2017 - **HQ Location:** Gateshead, Tyne and Wear - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=69161aac3a1d35cef0f39cc9b81565e194132ffc0090b6d0e9582d41bae4d74e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwordnerds%2F&secure%5Burl_type%5D=linkedin_company_website) 27 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 64% Large, 29% Medium #### What Do G2 Reviewers Say About Wordnerds? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **rich customer insights** provided by Wordnerds, enhancing their data analysis and decision-making processes. - Users value the **excellent customer support** from Wordnerds, highlighting the helpfulness of the dedicated account manager. - Users find Wordnerds' interface **easy to use** , making information uploading and data analysis a breeze. - Users value the **insightful analysis** provided by Wordnerds, enhancing their understanding of qualitative and quantitative data. - Users praise the **accuracy** of Wordnerds, benefiting from precise data analysis and customizable theme training options. ##### Cons - Users face **accuracy issues** with Wordnerds, finding analysis difficult, especially with limited data sets. - Users find the **AI inaccuracy** in Wordnerds limits usability, especially with data exports and lack of AI-generated summaries. - Users find the **AI limitations** of Wordnerds hinder effective data utilization, especially for smaller projects lacking volume. - Users find the **data accuracy inconsistent** , making analysis challenging, especially with smaller datasets. - Users find the **exporting issues** cumbersome, requiring extra effort to clean and utilize data effectively. #### What Are Recent G2 Reviews of Wordnerds? **["Streamlining Employee Feedback Analysis with Word Nerds AI"](https://www.g2.com/survey_responses/wordnerds-review-10591574)** **Rating:** 4.0/5.0 stars _— Amy B._ [Read full review](https://www.g2.com/survey_responses/wordnerds-review-10591574) **["Strong text analytics platform"](https://www.g2.com/survey_responses/wordnerds-review-10490496)** **Rating:** 5.0/5.0 stars _— Chris H._ [Read full review](https://www.g2.com/survey_responses/wordnerds-review-10490496) ### [NVivo](https://www.g2.com/products/nvivo/reviews) NVivo is the leading qualitative and mixed-methods analysis platform, designed to turn unstructured data into evidence-based insights by unifying coding, querying, and AI-assisted analysis. It enables researchers to organize and interpret interviews, focus groups, and surveys, compare findings across cases and themes, and visualize results– ensuring that insights meet the rigor required for publications, evaluations, and grant proposals. The most cited QDA software in academic publications worldwide (Scopus Database, 2010–2025), NVivo has supported scholars, teams, and institutions across social sciences, education, health, and public policy for over 30 years. **Average Rating:** 4.0/5.0 **Total Reviews:** 134 #### How Do G2 Users Rate NVivo? - **Has the product been a good partner in doing business?:** 7.5/10 (Category avg: 9.0/10) - **Custom Extension:** 2.5/10 (Category avg: 8.1/10) - **Compositionality:** 3.3/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 4.2/10 (Category avg: 8.3/10) #### Who Is the Company Behind NVivo? - **Seller:** [Lumivero](https://www.g2.com/sellers/lumivero) - **Company Website:** lumivero.com - **Year Founded:** 1995 - **HQ Location:** Denver, CO - **Twitter:** @LUMIVER0 399 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=dd1937dc5b829762a5da6656a5b16a66c6f41c0b20ba37b511c62477413e518b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F76790%2F&secure%5Burl_type%5D=linkedin_company_website) 299 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Research Assistant - **Top Industries:** Higher Education, Research - **Company Size:** 47% Small, 33% Large #### What Do G2 Reviewers Say About NVivo? _AI-generated summary from verified user reviews_ ##### Pros - Users find NVivo to be a **user-friendly and efficient system** that greatly enhances qualitative research workflows. - Users find NVivo to enhance **efficiency in qualitative research** , making data organization and analysis effortless and insightful. - Users find NVivo's **data analysis features** invaluable for organizing and visualizing complex qualitative research data effectively. - Users appreciate the **analysis accuracy** of NVivo, significantly enhancing the depth and clarity of their research outcomes. - Users praise the **rich analytics capabilities** of NVivo, enhancing the depth and clarity of qualitative research outcomes. ##### Cons - Users find NVivo to be **not user-friendly** , with a confusing interface and frustrating customer service hindering productivity. - Users experience **poor customer support** with NVivo, facing slow responses and frustrating policies that hinder timely assistance. - Users experience **slow performance** with NVivo, causing frustration and hindering efficient access to research data. - Users face significant **compatibility issues** between Windows and iOS, complicating collaboration and causing overall frustration. - Users find the **interface confusing** and experience steep learning curves, complicating their research efforts with NVivo. #### What Are Recent G2 Reviews of NVivo? **["Great for Academic Research, Thematic Analysis, and Literature Reviews"](https://www.g2.com/survey_responses/nvivo-review-12287226)** **Rating:** 4.0/5.0 stars _— Dimi N._ [Read full review](https://www.g2.com/survey_responses/nvivo-review-12287226) **["owerful Tool for Qualitative and Mixed-Methods Research"](https://www.g2.com/survey_responses/nvivo-review-11726982)** **Rating:** 5.0/5.0 stars _— Shiv S._ [Read full review](https://www.g2.com/survey_responses/nvivo-review-11726982) #### What Are G2 Users Discussing About NVivo? - [What is NVivo used for?](https://www.g2.com/discussions/what-is-nvivo-used-for) - 1 comment - [What is the cost of NVivo?](https://www.g2.com/discussions/what-is-the-cost-of-nvivo) - [How does NVivo analyze data?](https://www.g2.com/discussions/how-does-nvivo-analyze-data) - [Is NVivo software free?](https://www.g2.com/discussions/is-nvivo-software-free) - [What is NVivo software used for?](https://www.g2.com/discussions/what-is-nvivo-software-used-for) - 1 comment ### [Lumoa](https://www.g2.com/products/lumoa/reviews) Lumoa is the first CX platform to offer GPT. In the past, companies used to spend weeks collecting, analyzing, interpreting, and reporting on customer feedback from multiple sources. Now, every employee can ask questions and receive real-time answers based on the voice of the customer. Lumoa helps make timely decisions to increase KPIs up to three times. **Average Rating:** 4.4/5.0 **Total Reviews:** 36 #### How Do G2 Users Rate Lumoa? - **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.0/10) - **Custom Extension:** 7.0/10 (Category avg: 8.1/10) - **Compositionality:** 6.8/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.3/10 (Category avg: 8.3/10) #### Who Is the Company Behind Lumoa? - **Seller:** [Netigate](https://www.g2.com/sellers/netigate) - **Year Founded:** 2005 - **HQ Location:** Stockholm, Stockholm County - **Twitter:** @Netigate 868 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ed25feb94880240e81babe117b400975b2b10bad716d169c5f154cacd0e0f751&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F288635%2F&secure%5Burl_type%5D=linkedin_company_website) 116 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Financial Services, Telecommunications - **Company Size:** 61% Large, 25% Medium #### What Are Recent G2 Reviews of Lumoa? **["I recommend Lumoa to every organisation - their sentiment analysis is a game changer"](https://www.g2.com/survey_responses/lumoa-review-8936326)** **Rating:** 5.0/5.0 stars _— Matthieu B._ [Read full review](https://www.g2.com/survey_responses/lumoa-review-8936326) **["Great tool to monitor what your guests think about your establishment and services"](https://www.g2.com/survey_responses/lumoa-review-8933110)** **Rating:** 5.0/5.0 stars _— Chris J._ [Read full review](https://www.g2.com/survey_responses/lumoa-review-8933110) ### [VizRefra](https://www.g2.com/products/vizrefra/reviews) Comprehend and Analyze Vast Textual Content Instantly! 2D / 3D Topic / Entities Maps Summarize tool Sentiment Analysis Categorize Volumes of text Word Cloud Topic Analisys **Average Rating:** 4.6/5.0 **Total Reviews:** 18 #### How Do G2 Users Rate VizRefra? - **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:** 8.6/10 (Category avg: 8.3/10) #### Who Is the Company Behind VizRefra? - **Seller:** [VizRefra](https://www.g2.com/sellers/vizrefra) - **Year Founded:** 2016 - **HQ Location:** Sydney - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0ad57ac022ae4309af290cce069e625e57b73456a1b30a22127c6f6822e1c9b9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvizrefra&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 56% Medium, 44% Small #### What Do G2 Reviewers Say About VizRefra? _AI-generated summary from verified user reviews_ ##### Pros - Users love VizRefra for its **intuitive data visualization** , making complex information easy to understand and engaging. - Users value the **powerful text analysis capabilities** of VizRefra, enhancing their understanding of complex textual data. - Users value the **interactive charts and graphs** in VizRefra, enhancing their ability to analyze and visualize data effectively. - Users value the **intuitive user interface** of VizRefra, enabling quick and engaging data visualization with ease. - Users praise the **accuracy** of VizRefra, appreciating its error-free content generation and reliable data validation methods. ##### Cons - Users struggle with **integration issues** in VizRefra, resulting in inefficient manual processes and delayed data insights. - Users experience **jitter with large datasets** and find the filtering system cumbersome and unintuitive, complicating data management. - Users find the **inefficiency** of manual data handling frustrating, hindering timely insights and active sentiment management. - Users face challenges due to **insufficient documentation** , leading to difficulties with API and platform support. - Users report the **not user-friendly interface** of VizRefra, making data management and filtering challenging and frustrating. #### What Are Recent G2 Reviews of VizRefra? **["VizRefra Turns Data problem into Clear, Customizable Insights"](https://www.g2.com/survey_responses/vizrefra-review-12675696)** **Rating:** 4.0/5.0 stars _— Arkajit D._ [Read full review](https://www.g2.com/survey_responses/vizrefra-review-12675696) **["Revolutionizes Data Analysis with 3D Mapping"](https://www.g2.com/survey_responses/vizrefra-review-12194055)** **Rating:** 4.0/5.0 stars _— Jjggj J._ [Read full review](https://www.g2.com/survey_responses/vizrefra-review-12194055) ### [Synthesys](https://www.g2.com/products/synthesys/reviews) Synthesys is a solution that adds the brainpower of thousands of people to a team. by reading through all data and highlights the important people, places, organizations, events and facts being discussed, resolve highlighted points and determines what's important, connecting the dots together and figures out what the final picture means by comparing it with the opportunities, risks and anomalies that are looking for. **Average Rating:** 4.1/5.0 **Total Reviews:** 11 #### How Do G2 Users Rate Synthesys? - **Has the product been a good partner in doing business?:** 9.2/10 (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 Synthesys? - **Seller:** [Smarsh Inc](https://www.g2.com/sellers/smarsh-inc) - **Year Founded:** 2000 - **HQ Location:** Franklin, TN - **Twitter:** @dreasoning 2,882 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9808f450e0eded70f7662faa533f91758527d26b32f1dd0e02a676742c861f39&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F74158%2F&secure%5Burl_type%5D=linkedin_company_website) 22 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 55% Small, 36% Medium #### What Are Recent G2 Reviews of Synthesys? **["Synthesys AI has streamlined my workflow and enhanced my productivity exponentially"](https://www.g2.com/survey_responses/synthesys-review-9476738)** **Rating:** 4.0/5.0 stars _— Tara B._ [Read full review](https://www.g2.com/survey_responses/synthesys-review-9476738) **["Voices, Humans and Images All In One Place"](https://www.g2.com/survey_responses/synthesys-review-9348012)** **Rating:** 4.5/5.0 stars _— Joel D._ [Read full review](https://www.g2.com/survey_responses/synthesys-review-9348012) #### What Are G2 Users Discussing About Synthesys? - [What is Synthesys used for?](https://www.g2.com/discussions/what-is-synthesys-used-for) ### [Lettria](https://www.g2.com/products/lettria/reviews) Lettria is a document intelligence platform specifically designed for regulated industries, offering a robust solution for organizations that require meticulous handling of sensitive information. This platform leverages advanced technology to enhance the accuracy and reliability of document processing, making it an essential tool for enterprises that manage high-stakes content. Lettria’s unique GraphRAG technology significantly boosts accuracy by 30% compared to traditional large language models (LLMs) and retrieval-augmented generation (RAG) tools, ensuring that users can trust the outputs generated from their documents. Targeted primarily at industries such as finance, healthcare, and life science, Lettria addresses the unique challenges faced by organizations that must navigate complex regulatory environments. These sectors often deal with vast amounts of documentation that require not only precise interpretation but also compliance with stringent standards. Lettria’s capabilities allow users to extract and analyze critical information from PDFs and internal documents while maintaining the structural integrity of the data. This is particularly important in regulated industries where misinterpretation can lead to significant consequences. One of the standout features of Lettria is its commitment to transparency and auditability. Unlike vector-only approaches that may compromise the structure of documents and lead to inaccuracies or "hallucinations," Lettria preserves the inherent complexity of the original content. This ensures that users can trace back the origins of the information and understand how conclusions were drawn, which is vital for compliance and risk management. The platform seamlessly integrates with existing knowledge graphs or data platforms, allowing organizations to enhance their data ecosystems without overhauling their current systems. Additionally, Lettria offers explainable results, which is crucial for users who need to justify decisions based on document analysis. The platform’s ability to deliver precise outputs not only improves operational efficiency but also empowers users to make informed decisions based on reliable data. By focusing on the specific needs of enterprises handling sensitive content, Lettria stands out as a comprehensive solution that combines advanced technology with a deep understanding of regulatory requirements, ultimately providing value through enhanced accuracy, compliance, and usability. **Average Rating:** 4.9/5.0 **Total Reviews:** 13 #### How Do G2 Users Rate Lettria? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 9.7/10 (Category avg: 8.1/10) - **Compositionality:** 9.4/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Lettria? - **Seller:** [Lettria](https://www.g2.com/sellers/lettria) - **Year Founded:** 2019 - **HQ Location:** Paris, Ile-de-France - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a665c5b9deea1809c2ea3367d199a42436539825231e67908f550c328a33ecf4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flettria%2F%3ForiginalSubdomain%3Dfr&secure%5Burl_type%5D=linkedin_company_website) 21 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 85% Small, 8% Large #### What Do G2 Reviewers Say About Lettria? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Lettria, allowing effortless NLP project launches without technical expertise. - Users appreciate the **intuitive NLP capabilities** of Lettria, enabling quick sentiment analysis and topic detection effortlessly. - Users commend Lettria's **responsive customer support** , ensuring a smooth setup and expert guidance for NLP implementation. - Users praise Lettria's **user-friendly interface** and efficient API integration, enhancing ease of use for sentiment analysis. - Users appreciate the **simplicity of AI implementation** in Lettria, empowering them to focus on their core tasks effortlessly. ##### Cons - Users find the **lacking features** in Lettria limit customization and finer adjustments for computational linguists. - Users find the **lack of specificity** in Lettria's statistics can be confusing for non-experts seeking clarity. - Users feel that the **limited customization** options hinder their ability to tailor features for specific needs. - Users note **poor interface design** , with some screens lacking ergonomics despite improvements in accessibility from Lettria's team. #### What Are Recent G2 Reviews of Lettria? **["Amazing insights from our call records!"](https://www.g2.com/survey_responses/lettria-review-8123379)** **Rating:** 5.0/5.0 stars _— Victor V._ [Read full review](https://www.g2.com/survey_responses/lettria-review-8123379) **["Developing machine-learned and rule-based models for customer reviews using pre-annotated data"](https://www.g2.com/survey_responses/lettria-review-8083901)** **Rating:** 5.0/5.0 stars _— Jean-Baptiste F._ [Read full review](https://www.g2.com/survey_responses/lettria-review-8083901) ### [InMoment Text Analytics](https://www.g2.com/products/inmoment-text-analytics/reviews) Understand the voice of your customer. Get insight from qualitative feedback. Wootric CXInsight™ uses machine learning to auto-categorize and assignment sentiment to unstructured feedback from surveys, online reviews, social media, support tickets, employee feedback, and more. - Get ROI from qualitative feedback, instantly. Machine learning identifies category themes and sentiment in each verbatim comment, instantly analyzing volumes of feedback. Algorithms are based on what matters in your industry, customized for your organization. Analyze feedback in any language, from any source. -Know what improvements will have the most impact. Stop wasting time deliberating. Use data to prioritize projects. -Quantify what your customers and employees care about. Understand the “why” behind Net Promoter Score and customer journey point metrics. Analyze a single source–or see themes across all feedback sources.Visualize data by any business driver. Create tag hierarchy. - Save time. View big picture trends and spot anomalies at a glance.Create an executive dashboard based on what matters to you, and Customize dashboards for each stakeholder function.Alert stakeholders to changes in feedback trends automatically, so they can address issues - Understand why customers and employees love you or don’t. Easily investigate hypotheses, without a data analyst. -Get a unified view. Import feedback from any source. -Align all business teams around the customer. No more silos — democratize customer data. Insight without a data analyst. Our platform makes it easy for teams to discover relevant insights themselves. Permission-based access. Get a holistic view of customer/employee sentiment in an easy to use dashboard. **Average Rating:** 4.9/5.0 **Total Reviews:** 20 #### How Do G2 Users Rate InMoment Text Analytics? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) #### Who Is the Company Behind InMoment Text Analytics? - **Seller:** [PG Forsta](https://www.g2.com/sellers/pg-forsta) - **HQ Location:** Salt Lake City, Utah - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e56037fcec61d213a1f4229eb926938e0c1373395be6ee138691fc922b14a1dc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fweareinmoment%2F&secure%5Burl_type%5D=linkedin_company_website) 411 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small, 45% Medium #### What Are Recent G2 Reviews of InMoment Text Analytics? **["Excellent plataform"](https://www.g2.com/survey_responses/inmoment-text-analytics-review-6933620)** **Rating:** 5.0/5.0 stars _— Eric G._ [Read full review](https://www.g2.com/survey_responses/inmoment-text-analytics-review-6933620) **["Easy to navigate even with little knowledge."](https://www.g2.com/survey_responses/inmoment-text-analytics-review-7178173)** **Rating:** 5.0/5.0 stars _— Verified User in Information Technology and Services_ [Read full review](https://www.g2.com/survey_responses/inmoment-text-analytics-review-7178173) #### What Are G2 Users Discussing About InMoment Text Analytics? - [What is InMoment Text Analytics used for?](https://www.g2.com/discussions/what-is-inmoment-text-analytics-used-for) ### [Conversus.AI](https://www.g2.com/products/conversus-ai/reviews) Conversus.AI™ is the game changer in social listening that puts YOU in control of your data quality. This Machine Learning-as-a-Service Platform is designed for data scientists and general analysts alike to put the immense power of machine learning to work on your social and voice of customer data, allowing for immediate deployment into many leading social listening, management, and business intelligence platforms. Choose your data source to build your own models quickly and efficiently or select from growing library of prebuilt machine learning models by industry. Measure performance and validate the performance of your model all while avoiding inadvertent bias. The results: increase precision and relevancy of your data by more than 80% in most cases, separate meaningful signals from the noise, clean up messy data, lower your costs of data wrangling and effectively apply the data to a wider range of your organization’s needs – including brand health, consumer insights, audience analysis, predictive analytics, customer experience, customer care and much more. Conversus.AI™ starts where most social listening and management platforms stop. **Average Rating:** 4.5/5.0 **Total Reviews:** 11 #### How Do G2 Users Rate Conversus.AI? - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Custom Extension:** 9.1/10 (Category avg: 8.1/10) - **Compositionality:** 9.6/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.1/10 (Category avg: 8.3/10) #### Who Is the Company Behind Conversus.AI? - **Seller:** [Converseon](https://www.g2.com/sellers/converseon) - **Year Founded:** 2008 - **HQ Location:** New York, NY - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6b655a877c3c4b5fb20b68781d6f43760dbf59c9a07100d7058e9791a5e52008&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fconverseon&secure%5Burl_type%5D=linkedin_company_website) 32 employees on LinkedIn® #### Who Uses This Product? - **Company Size:** 64% Small, 36% Medium #### What Are Recent G2 Reviews of Conversus.AI? **["Reviewing Conversus.AI"](https://www.g2.com/survey_responses/conversus-ai-review-8870055)** **Rating:** 4.5/5.0 stars _— Prashant K._ [Read full review](https://www.g2.com/survey_responses/conversus-ai-review-8870055) **["An easy platform for a non-technical person"](https://www.g2.com/survey_responses/conversus-ai-review-8881151)** **Rating:** 5.0/5.0 stars _— Verified User in Biotechnology_ [Read full review](https://www.g2.com/survey_responses/conversus-ai-review-8881151) #### What Are G2 Users Discussing About Conversus.AI? - [What is Conversus.AI used for?](https://www.g2.com/discussions/conversus-ai-what-is-conversus-ai-used-for) - [What is Conversus.AI used for?](https://www.g2.com/discussions/what-is-conversus-ai-used-for) ### [Idiomatic](https://www.g2.com/products/idiomatic/reviews) Idiomatic provides instant Voice of Customer within minutes. With our new self-serve version, you can 1- Upload Any Feedback Data Set: Easily upload/connect your customer feedback data from help desk, surveys, app reviews, product reviews, social media, and forum/communities. See the magic happen instantly, live. 2- Get a Custom Taxonomy: Idiomatic instantly generates a set of labels custom to your dataset, providing you with a taxonomy in real-time you can use for classification. 3- Get Instant Results: Get your set of labels, and all of your data categorized by those labels in minutes. Try it for free for 14 days! Trusted by companies such as Pinterest and HubSpot, Idiomatic can be used to build a voice of customer program from scratch or to look into automating an existing program. The biggest drawback of customer feedback analytics is that it’s often based on large language models or natural language processing (NLP). These general models are good at surfacing high-level themes, insights, and key phrases in text analysis, but are not tailored to give specific granular insights for each individual business or industry, taking into account language that is unique to you. This means that you still have to do deep dives to read lots of tickets to understand the specifics of what’s going on with a theme or phrase. Idiomatic builds a new taxonomy unique to each client’s business that helps you better understand your customers and their specific feedback about your products and services. The Idiomatic models are not “theme” based, but use machine learning based on our taxonomy to better understand the relationship and meaning of your customer feedback. This means you can process high volumes of data at scale, and deliver specific human-understandable insights without requiring you to do deep dives to read lots of tickets to get actionable insights about your business. **Average Rating:** 4.6/5.0 **Total Reviews:** 12 #### How Do G2 Users Rate Idiomatic? - **Custom Extension:** 8.3/10 (Category avg: 8.1/10) - **Compositionality:** 8.5/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.9/10 (Category avg: 8.3/10) #### Who Is the Company Behind Idiomatic? - **Seller:** [Idiomatic](https://www.g2.com/sellers/idiomatic) - **Year Founded:** 2015 - **HQ Location:** Palo Alto, California - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2eeca486ff2e15e79d016c999a2a103f6a916084d4b16e9acfa65241106d225a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fidiomatic-inc%2F&secure%5Burl_type%5D=linkedin_company_website) 3 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 67% Large, 25% Medium #### What Are Recent G2 Reviews of Idiomatic? **["My interactions with their representatives have been wonderful"](https://www.g2.com/survey_responses/idiomatic-review-8732235)** **Rating:** 4.0/5.0 stars _— Verified User in Internet_ [Read full review](https://www.g2.com/survey_responses/idiomatic-review-8732235) **["Comprehensive Analytics with Room for Enhanced Customization"](https://www.g2.com/survey_responses/idiomatic-review-8762140)** **Rating:** 5.0/5.0 stars _— Justin J._ [Read full review](https://www.g2.com/survey_responses/idiomatic-review-8762140) ### [Comments Analytics](https://www.g2.com/products/comments-analytics/reviews) Valuable, clear, considerable, and remarkable insights from videos, social posts, product pages unstructured text data – to help you better understand the thoughts, feelings, motivations, and decision-making processes of your customers. Comments Analytics is an AI tool that provides an in-depth analysis of unstructured text data, including sentiment analysis, comment categories, named\_entities recognition, and keyword extraction. Key Benefits of CommentsAnalytics Services: 1 - Customer Insights 2 - Brand Reputation Management 3 - Product Development and Innovation 4 - Customer Experience Enhancement **Average Rating:** 4.8/5.0 **Total Reviews:** 22 #### How Do G2 Users Rate Comments Analytics? - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10) - **Custom Extension:** 9.2/10 (Category avg: 8.1/10) - **Compositionality:** 9.4/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 9.0/10 (Category avg: 8.3/10) #### Who Is the Company Behind Comments Analytics? - **Seller:** [Comments Analytics](https://www.g2.com/sellers/comments-analytics) - **Year Founded:** 2022 - **HQ Location:** Hamburg, Hamburg - **Twitter:** @CommentsAnaly 2 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa78e24bc393971fcb82a70589866cfc8e9d92ae643fe75eb614a0d6fd45ebf0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcomments-analytics&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Computer Software - **Company Size:** 96% Small, 4% Large #### What Do G2 Reviewers Say About Comments Analytics? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **accuracy of sentiment analysis** , which provides essential insights for improving products based on customer feedback. - Users appreciate the **ease of understanding** offered by Comments Analytics, facilitating smooth navigation and interpretation of insights. - Users value the **ease of use** of Comments Analytics, appreciating the smooth navigation and user-friendly interface. - Users appreciate the **efficiency** of Comments Analytics for smooth navigation and insightful sentiment analysis. - Users value the **efficiency improvement** offered by Comments Analytics, making feedback analysis a seamless experience. #### What Are Recent G2 Reviews of Comments Analytics? **["Sentiment Analysis for Comments"](https://www.g2.com/survey_responses/comments-analytics-review-9074532)** **Rating:** 5.0/5.0 stars _— Soosan N._ [Read full review](https://www.g2.com/survey_responses/comments-analytics-review-9074532) **["Analytical view of customer Sentiment"](https://www.g2.com/survey_responses/comments-analytics-review-10435740)** **Rating:** 4.5/5.0 stars _— Ali R._ [Read full review](https://www.g2.com/survey_responses/comments-analytics-review-10435740) ### [Beehive AI](https://www.g2.com/products/beehive-ai/reviews) Beehive AI is using the power of generative AI to help companies transform their business through a deeper understanding of its customers. With Beehive AI, businesses can analyze customer data at scale, discover timely insights they can trust, and focus on more impactful activities by automating manual processes. Beehive AI has built an adaptive LLM with enterprise-grade security that continuously evolves to stay current with the latest technology advancements. On this foundation, Beehive AI provides a bespoke, private LLM platform, fine-tuned with your proprietary customer data. This custom LLM is fact-checked by humans and grounded in traceable truths born from your data. Leading companies are transforming how they analyze customer data, discover strategic insights, and make data-driven business decisions—and they trust Beehive AI to lead this transformation. Contact us to discover how Beehive AI can empower your company. Beehive AI ingests data from any insights program running in the organization, breaking down silos between data sets to create a unified analysis experience and unlock more complete, cross-data set insights. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovations that rely on generic LLMs and produce unreliable results , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time. **Average Rating:** 4.7/5.0 **Total Reviews:** 12 #### How Do G2 Users Rate Beehive AI? - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Custom Extension:** 6.0/10 (Category avg: 8.1/10) - **Compositionality:** 6.0/10 (Category avg: 8.3/10) - **Pre-Built Parameterization:** 7.8/10 (Category avg: 8.3/10) #### Who Is the Company Behind Beehive AI? - **Seller:** [Beehive AI](https://www.g2.com/sellers/beehive-ai) - **HQ Location:** South San Francisco, US - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d2e7d539f53db8e062839f2de5a4e8f020f29ad9d8290dc7d63b64266cf9d906&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbeehive-ai&secure%5Burl_type%5D=linkedin_company_website) 19 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Retail - **Company Size:** 83% Large, 8% Medium #### What Do G2 Reviewers Say About Beehive AI? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **time-saving AI technology** of Beehive, which provides accurate and actionable insights effortlessly. - Users value the **time-saving AI analysis** of Beehive, streamlining insights from open-ended feedback efficiently. - Users commend the **excellent customer support** of Beehive AI, noting their responsiveness and commitment to improvement. - Users appreciate the **collaborative support** from Beehive AI, enhancing teamwork and improving data analysis efficiency. - Users find Beehive AI to be **easy to use** , making thematic analysis and implementation seamless across organizations. ##### Cons - Users experience **categorization issues** with overlapping themes, preferring clearer distinctions for improved usability. - Users find **communication issues** arise when needing support for data structuring and segmenting, which can be challenging. - Users find the **complex setup** process time-consuming, wishing for a quicker start to using Beehive AI. - Users find the **insufficient training** challenging when structuring data imports and need support for data comparisons. - Users find the absence of a **chat feature** inconvenient, though updates may address this in the future. #### What Are Recent G2 Reviews of Beehive AI? **["Good platform, top-notch team"](https://www.g2.com/survey_responses/beehive-ai-review-11278338)** **Rating:** 4.5/5.0 stars _— Anna D._ [Read full review](https://www.g2.com/survey_responses/beehive-ai-review-11278338) **["Powerful AI tool, especially for those in market research"](https://www.g2.com/survey_responses/beehive-ai-review-11232874)** **Rating:** 4.5/5.0 stars _— Verified User in Cosmetics_ [Read full review](https://www.g2.com/survey_responses/beehive-ai-review-11232874) - [‹ Prev‹ Prev](/categories/text-analysis?country=56&order=g2_score&page=2#product-list) - [1](/categories/text-analysis?country=56&order=g2_score#product-list) - [2](/categories/text-analysis?country=56&order=g2_score&page=2#product-list) - 3 - [4](/categories/text-analysis?country=56&order=g2_score&page=4#product-list) - [5](/categories/text-analysis?country=56&order=g2_score&page=5#product-list) - [6](/categories/text-analysis?country=56&order=g2_score&page=6#product-list) - [7](/categories/text-analysis?country=56&order=g2_score&page=7#product-list) - … - [12](/categories/text-analysis?country=56&order=g2_score&page=12#product-list) - [13](/categories/text-analysis?country=56&order=g2_score&page=13#product-list) - [Next ›Next ›](/categories/text-analysis?country=56&order=g2_score&page=4#product-list) Spotlight Categories [Employee Intranet Software](https://www.g2.com/categories/employee-intranet) [Email Marketing Software](https://www.g2.com/categories/email-marketing) [Security Compliance Software](https://www.g2.com/categories/security-compliance) [Sales Compensation Software](https://www.g2.com/categories/sales-compensation) [Digital Asset Management Software](https://www.g2.com/categories/digital-asset-management) Similar Categories - [Agentic Analytics](/categories/agentic-analytics) - [AI Search and Discovery Platforms](/categories/ai-search-and-discovery-platforms) - [Analytics Platforms](/categories/analytics-platforms) - [Business Intelligence](/categories/business-intelligence) - [Data Virtualization](/categories/data-virtualization) - [Drone Analytics](/categories/drone-analytics) - [Enterprise Search Software](/categories/enterprise-search-software) - [Graph Visualization Tools](/categories/graph-visualization-tools) - [Insight Engines](/categories/insight-engines) - [Other Analytics](/categories/other-analytics) - [Predictive Analytics](/categories/predictive-analytics) - [Site Search Software](/categories/site-search-software) - [Statistical Analysis](/categories/statistical-analysis) - [Time Series Intelligence](/categories/time-series-intelligence) - [Visitor Behavior Intelligence](/categories/visitor-behavior-intelligence) [Browse Text Analysis Themes](/categories/text-analysis/themes) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated October 3, 2024 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 Show More * * * ## 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.