# Comments Analytics Reviews **Vendor:** Comments Analytics **Category:** [Feedback Analytics Software](https://www.g2.com/categories/feedback-analytics) **Average Rating:** 4.8/5.0 **Total Reviews:** 23 ## About Comments Analytics 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 ## Comments Analytics Pros & Cons **What users like:** - Users value the **accuracy** of Comments Analytics, finding it essential for improving products based on customer feedback. (1 reviews) - Users appreciate the **ease of understanding** in Comments Analytics, finding navigation and interpretation intuitive and user-friendly. (1 reviews) - Users value the **ease of use** of Comments Analytics, finding it smooth and user-friendly for insightful feedback analysis. (1 reviews) - Users value the **efficiency of Comments Analytics** for seamlessly analyzing customer sentiment and improving products. (1 reviews) - Users value the **efficiency improvement** from Comments Analytics, finding it user-friendly and beneficial for product enhancement. (1 reviews) - Experience Improvement (1 reviews) - Users find the **accurate feedback management** of Comments Analytics essential for improving products based on customer insights. (1 reviews) - Users value the **powerful Named Entity Recognition** feature, which transforms comment analysis and enhances understanding of user interactions. (1 reviews) - Insights Analysis (1 reviews) - Users value the **automated insights generation** from Comments Analytics, enhancing understanding of user sentiments and trends. (1 reviews) ## Comments Analytics Reviews ### 1. Analytical view of customer Sentiment **Rating:** 4.5/5.0 stars **Reviewed by:** Ali R. | Business Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** October 31, 2024 **What do you like best about Comments Analytics?** Sentiment analysis is very critical and accurate feedback analysis are the most beneficial for organization in order to improve products according to customer needs. Comments analysis provide insights analysis of customer Sentiment by analysis their Comments mentioned on different sources. Further, navigate and interpretation the statistics is a smooth experience because of the user friendly interfaces and efficient process. **What do you dislike about Comments Analytics?** Since i am using this platform i did not observed any dislike yet. It's true beneficial. **What problems is Comments Analytics solving and how is that benefiting you?** It was difficult to us to conduct surveys from customers physically or in-person. But after using this platform we are getting know customer Sentiments, their views about our products, their dissatisfaction (if any) for our decision making purposes where we may improve the overall efficiency of our products. ### 2. Sentiment Analysis for Comments **Rating:** 5.0/5.0 stars **Reviewed by:** Soosan N. | Small-Business (50 or fewer emp.) **Reviewed Date:** January 01, 2024 **What do you like best about Comments Analytics?** Sentiment analysis service within Comments Analytics for extracting sentiments from social network comments opens a gateway to a deeper understanding of user opinions and emotions. By employing advanced natural language processing algorithms, the service dissects the textual content of comments, discerning sentiments expressed within each message. This functionality is invaluable for businesses aiming to gauge the overall sentiment of their audience, whether it be positive, negative, or neutral. Through sentiment analysis, companies can swiftly identify trends, monitor user satisfaction, and promptly address concerns. This powerful tool not only streamlines the process of interpreting vast amounts of textual data but also empowers businesses to tailor their strategies and responses in alignment with the sentiments expressed by their online community. **What do you dislike about Comments Analytics?** The sentiment analysis service within Comments Analytics stands out as a remarkable tool with an impressive feature set, notably its capability to identify and filter out negative sentiments effectively. Through robust algorithms and advanced natural language processing, the service excels in finding no bad feature, showcasing its accuracy and reliability. **What problems is Comments Analytics solving and how is that benefiting you?** Finding Sentiment of Comments ### 3. How Comment Analytics helped us out **Rating:** 4.5/5.0 stars **Reviewed by:** Virat G. | Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 31, 2024 **What do you like best about Comments Analytics?** Accurate analysis of user feedbacks and sentiment analysis is very useful. Integration with various channels made easy to bring insights from multiple of our sources. Dealing with improper data is also a plus. **What do you dislike about Comments Analytics?** Detection of repeated or two faced opinions can be added to filter out non trust worthy inputs **What problems is Comments Analytics solving and how is that benefiting you?** Being in food based industry getting customers opinion on products was very critical and Comments Analysis does a good job to better know our customer. Decrypting meaning is very important task which comment analysis does a better job than GCP services we have used previously. ### 4. Classify comments based on pre-defined categories **Rating:** 5.0/5.0 stars **Reviewed by:** Lima P. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2023 **What do you like best about Comments Analytics?** Classifying comments based on pre-defined categories in Comments Analytics is a powerful tool for understanding and organizing user-generated content. This powerful feature streamlines the analysis of diverse comments by assigning them to predefined categories such as positive feedback, negative sentiments, or specific topics. By leveraging machine learning algorithms and natural language processing, Comments Analytics automates the categorization process, allowing businesses to swiftly identify trends, sentiments, and key themes within their user interactions. This not only facilitates a more efficient review process but also enables businesses to tailor their responses, address concerns promptly, and capitalize on positive feedback. The ability to classify comments based on predefined categories enhances the precision and depth of insights, empowering organizations to make data-driven decisions that resonate with their audience. **What do you dislike about Comments Analytics?** Discovering no negative experiences in the process of classifying comments exemplifies the effectiveness of the system. This absence of adverse feedback underscores the reliability and accuracy of the classification, providing a seamless and positive user experience in navigating and interpreting user-generated content. **What problems is Comments Analytics solving and how is that benefiting you?** comments classification ### 5. Sentiment Analysis for set of text **Rating:** 4.5/5.0 stars **Reviewed by:** ronak y. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2023 **What do you like best about Comments Analytics?** Using sentiment analysis within the Comments Analytics service revolutionizes the way we interpret and respond to user interactions. In the realm of short text files, this powerful tool sifts through the intricate tapestry of comments, extracting nuanced sentiments and emotions expressed by users. The service's sentiment analysis capabilities discern the subtle shades of positivity, negativity, or neutrality within each comment, providing a comprehensive understanding of user feedback. This insightful analysis extends beyond mere categorization, offering a valuable lens through which businesses can adapt strategies, address concerns promptly, and amplify positive engagement. The Comments Analytics service, driven by sentiment analysis, becomes an indispensable asset in navigating the dynamic landscape of user sentiments, allowing for informed decision-making and the cultivation of a more positive and resonant user experience. **What do you dislike about Comments Analytics?** Remarkably, my exploration of the Sentiment Analysis service within Comments Analytics has revealed no discernible shortcomings or negative features, underscoring its robustness and effectiveness in deciphering user sentiments. **What problems is Comments Analytics solving and how is that benefiting you?** Extracting Sentiment from large files ### 6. Sentiment Analysis for Large files **Rating:** 5.0/5.0 stars **Reviewed by:** julian p. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2023 **What do you like best about Comments Analytics?** Utilizing the sentiment analysis service provided by Comments Analytics has proven to be an invaluable asset in deciphering the emotional undercurrents within vast volumes of user comments. The efficiency and accuracy of the service were unmistakably evident during a meticulous single request test, where it not only accurately gauged sentiments but also provided nuanced insights into the varied expressions of opinions. The seamless integration of the sentiment analysis service into a single request showcased its real-time capabilities, affirming its utility for on-the-fly evaluations. Furthermore, as the scale expanded to bulk requests and large files, the service exhibited remarkable scalability and consistency. Its ability to efficiently handle extensive datasets reaffirmed its robust infrastructure, making it a reliable choice for businesses seeking comprehensive sentiment analysis across diverse and extensive comment repositories. The journey from single requests to bulk processing underscored the Comments Analytics sentiment analysis service's adaptability and reliability in meeting the dynamic demands of sentiment interpretation in the ever-evolving digital landscape. **What do you dislike about Comments Analytics?** integration with our CRMs such as Zappier is a critical feature that should be added in Comments Analytics. **What problems is Comments Analytics solving and how is that benefiting you?** Extracting the sentiment value of our large file comments. ### 7. sentiment analysis for comments **Rating:** 5.0/5.0 stars **Reviewed by:** willie p. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 18, 2023 **What do you like best about Comments Analytics?** As a user of Comments Analytics, what I appreciate most is its powerful sentiment analysis feature. The service excels at extracting valuable insights from comments, providing a nuanced understanding of sentiments expressed by users. The accuracy and depth of the sentiment analysis allow me to gauge the overall mood and opinions within the comments, helping me make informed decisions. Additionally, the user-friendly interface and efficient workflow make navigating and interpreting the analytics a seamless experience. Comments Analytics has become an indispensable tool for understanding user feedback and enhancing overall engagement. **What do you dislike about Comments Analytics?** I have conducted extensive testing on the sentiment analysis service, and I am pleased to report that I found no adverse results. Every aspect of the service has performed impeccably, demonstrating its reliability and effectiveness in providing accurate and valuable insights from user sentiments. **What problems is Comments Analytics solving and how is that benefiting you?** Comments Analytics is instrumental in solving the challenge of deciphering and understanding the sentiments within vast amounts of user comments. By efficiently analyzing and categorizing feedback, it provides valuable insights into user opinions, enabling me to address concerns, capitalize on positive feedback, and ultimately enhance overall user satisfaction. This streamlined process significantly benefits my ability to make data-driven decisions and cultivate a more positive user experience. ### 8. keyword extraction **Rating:** 5.0/5.0 stars **Reviewed by:** kimberly b. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2023 **What do you like best about Comments Analytics?** When it comes to Comments Analytics, what stands out the most is its powerful and precise keyword extraction service. The platform excels in distilling valuable insights from comments by efficiently identifying and extracting key themes and sentiments. This feature not only saves time but also provides a comprehensive understanding of user feedback, enabling us to make data-driven decisions with confidence. The accuracy and depth of the keyword extraction service truly set Comments Analytics apart, making it an indispensable tool for harnessing the richness of comment data. **What do you dislike about Comments Analytics?** One of the noteworthy aspects of Comments Analytics is the absence of major drawbacks. The service consistently delivers reliable results with its keyword extraction feature, providing valuable insights without notable issues. The user-friendly interface and efficiency in extracting meaningful data contribute to a positive experience. Overall, the lack of significant dislikes makes Comments Analytics a commendable tool for comment analytics and keyword extraction. **What problems is Comments Analytics solving and how is that benefiting you?** Comments Analytics is addressing the challenge of efficiently extracting meaningful insights from a vast amount of business-related comments. By offering robust keyword extraction services, it enables us to quickly identify and understand key themes, sentiments, and trends within customer feedback. This not only saves time but also empowers us to make informed decisions, enhancing our overall business strategy. The ability to effortlessly distill valuable information from comments significantly contributes to improved customer understanding and more effective decision-making processes. ### 9. Keyword Extraction **Rating:** 4.5/5.0 stars **Reviewed by:** Angella A. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 24, 2023 **What do you like best about Comments Analytics?** Keyword Extraction and Word Cloud Generation services from Comment Analytics has significantly enriched my approach to comment analysis. The Keyword Extraction service efficiently identifies and extracts relevant keywords from user comments, providing a quick overview of the most prevalent themes and topics. This not only aids in content categorization but also guides strategic decision-making by highlighting popular trends and concerns within the comments. Coupled with the Word Cloud Generation service, visual representations of keyword frequency emerge, offering a dynamic and engaging snapshot of the most prominent terms. These services collectively empower me to understand user sentiments, track emerging topics, and streamline content moderation, ultimately enhancing the overall user experience within my platform. **What do you dislike about Comments Analytics?** Find no bad feature to mention in the comment analytics keyword extraction service. **What problems is Comments Analytics solving and how is that benefiting you?** Keyword Extraction Service ### 10. Sentiment Analysis for text **Rating:** 5.0/5.0 stars **Reviewed by:** Scarlet D. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2023 **What do you like best about Comments Analytics?** Leveraging sentiment analysis within the text service of Comments Analytics has proven to be a game-changer for enhancing customer satisfaction in my business. By employing advanced algorithms to analyze the sentiments expressed in user comments, this service enables us to gain invaluable insights into customer opinions, emotions, and feedback. The nuanced understanding of sentiments allows us to promptly address concerns, capitalize on positive feedback, and tailor our products and services to align with customer preferences. This not only fosters a more positive brand image but also cultivates a dynamic and responsive relationship with our customers. Through the lens of sentiment analysis, we have transformed customer feedback into a strategic asset, fueling continuous improvements and ultimately ensuring a heightened level of customer satisfaction in our business operations. **What do you dislike about Comments Analytics?** More intuitive charts as a suggestion for promotion. **What problems is Comments Analytics solving and how is that benefiting you?** Sentiment Analysis for massive text ### 11. Extracting Categories of Comments **Rating:** 4.5/5.0 stars **Reviewed by:** Maria N. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2023 **What do you like best about Comments Analytics?** With Category Extraction advanced capabilities, allow for the efficient extraction and categorization of topics within text comments. By discerning the underlying themes and subjects, it becomes possible to filter and organize comments based on specific categories. This not only streamlines the process of understanding the diverse array of topics discussed but also enhances the precision of sentiment analysis. With the ability to categorize comments, one can strategically focus on particular subjects of interest, gaining deeper insights into sentiment variations across different topics. This dual approach, combining category extraction and sentiment analysis, empowers users to unravel the intricate layers of user feedback, providing a comprehensive understanding that proves invaluable for informed decision-making and targeted improvements. **What do you dislike about Comments Analytics?** nothing to say dislike about the quality of service and time of processing. **What problems is Comments Analytics solving and how is that benefiting you?** Extracting the Categories of our comments such as Feedback and Suggestion , .... ### 12. Keyword Extraction Service **Rating:** 5.0/5.0 stars **Reviewed by:** eli r. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 08, 2023 **What do you like best about Comments Analytics?** CommentsAnalytics' keyword extraction service has revolutionized our approach to customer feedback analysis. This indispensable tool sifts through the vast array of comments, effortlessly identifying and extracting the most significant keywords that encapsulate customer sentiments. By honing in on these pivotal words, we gain unparalleled insights into the core themes and concerns expressed by our customers. This strategic use of keyword extraction not only streamlines our feedback analysis process but also equips us with the essential knowledge to tailor our products and services according to the specific needs and expectations of our clientele. CommentsAnalytics' advanced keyword extraction service has become an invaluable asset, propelling our business toward a more customer-centric and responsive trajectory. **What do you dislike about Comments Analytics?** Using more charts to emphasize the keywords of the bulk. **What problems is Comments Analytics solving and how is that benefiting you?** Finding Keywords of the Customers Comments ### 13. Word Cloud Generation **Rating:** 5.0/5.0 stars **Reviewed by:** Curla P. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 21, 2023 **What do you like best about Comments Analytics?** WordCloud service of Comments Analytics proves to be an invaluable asset in unraveling the intricate tapestry of sentiments within vast volumes of user comments. This dynamic service visualizes the frequency of words, offering a bird's-eye view of the most prominent terms expressed by the audience. By transforming textual data into visually compelling representations, WordCloud becomes a powerful tool for distilling key themes and trends. From identifying prevailing sentiments to highlighting recurrent topics, this service transcends the confines of textual analysis, providing a visually intuitive way to comprehend the pulse of user feedback. Its user-friendly interface and insightful visualizations empower businesses to make informed decisions, pinpointing areas of improvement, and capitalizing on strengths to foster a more engaging and responsive user experience. **What do you dislike about Comments Analytics?** Better UI for download word cloud and export in different formats. **What problems is Comments Analytics solving and how is that benefiting you?** Generating Word Cloud ### 14. extracting keywords from comments **Rating:** 5.0/5.0 stars **Reviewed by:** Tim D. | Haed Of Sales Department Import And Export, Import and Export, Small-Business (50 or fewer emp.) **Reviewed Date:** November 14, 2023 **What do you like best about Comments Analytics?** Robust Keyword Extraction: Comment Analytics excels in extracting meaningful keywords from comments, providing valuable insights into the most discussed topics and themes. Comprehensive Sentiment Analysis: Users appreciate the platform's ability to perform sentiment analysis effectively, helping them gauge the overall tone of comments and feedback. User-Friendly Interface: The platform boasts a user-friendly interface that simplifies the process of navigating through comment data, making it accessible to users of varying technical backgrounds. **What do you dislike about Comments Analytics?** I want to have API for keyword extraction and the API is not currently available in site. **What problems is Comments Analytics solving and how is that benefiting you?** I have a large files of comment and want to process them to extract the most important keywords mentioned in this data. Comments analytics provides this service for me and presents the keywords as table, wordcloud, and sentiment for my bulk data. ### 15. Sentiment Analysis for vast amount emails **Rating:** 5.0/5.0 stars **Reviewed by:** Stephen c. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 19, 2023 **What do you like best about Comments Analytics?** By integrating sentiment analysis capabilities, the email service can now dynamically categorize and prioritize incoming comments based on the sentiments expressed. This transformative approach allows users to quickly identify and address comments that carry significant positive or negative sentiments. For instance, in a customer support scenario, the service can automatically prioritize emails containing negative sentiments, enabling swift responses to customer concerns and ensuring a proactive approach to maintaining a positive brand image. By implementing sentiment analysis for the email service, Comments Analytics streamlines the process of sifting through vast amounts of textual data, providing users with a valuable tool for managing and responding to comments with precision and efficiency. **What do you dislike about Comments Analytics?** nothing to mention about dislike feature in comments analytics sentiment analysis. **What problems is Comments Analytics solving and how is that benefiting you?** Extracting Sentiments from Emails ### 16. Named-Entity Recognition (NER) **Rating:** 5.0/5.0 stars **Reviewed by:** Vered K. | Retail Activation Representative, Retail, Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2023 **What do you like best about Comments Analytics?** One of the standout features I appreciate the most about Comments Analytics is its advanced Named-Entity Recognition service. This powerful functionality significantly enhances our ability to extract valuable insights from user comments. By automatically identifying and categorizing entities such as names, locations, organizations, and more, Comments Analytics streamlines the analysis process. This not only saves time but also allows us to gain a deeper understanding of user sentiments, trends, and key topics. The precision and efficiency of the NER service contribute immensely to making data-driven decisions and improving overall comment comprehension. **What do you dislike about Comments Analytics?** I really like the precision of NER service that fulfills my requirements. **What problems is Comments Analytics solving and how is that benefiting you?** It helps me to extract the named-entity units of my large file in a informative chart. ### 17. Category extraction for Our social network comments **Rating:** 5.0/5.0 stars **Reviewed by:** Faniansiter J. | Small-Business (50 or fewer emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Comments Analytics?** The category extraction service of Comments Analytics in my social network comments has proven to be a game-changer for enhancing user engagement and content organization. By automatically extracting relevant categories from user comments, this service streamlines the process of content moderation and classification. It ensures that discussions and interactions align with predefined topics, fostering a more organized and targeted social environment. This not only improves the user experience by providing structured content but also facilitates efficient content management, enabling me to focus on fostering meaningful discussions within specific categories. The category extraction service from Comments Analytics thus plays a pivotal role in optimizing the content dynamics of my social network, ultimately contributing to a more vibrant and purposeful online community. **What do you dislike about Comments Analytics?** Find no bad experience in using the category extraction service . **What problems is Comments Analytics solving and how is that benefiting you?** Finding the category of our social network comments ### 18. sentiment analysis for text **Rating:** 4.5/5.0 stars **Reviewed by:** Yuval C. | HR, Import and Export, Small-Business (50 or fewer emp.) **Reviewed Date:** November 15, 2023 **What do you like best about Comments Analytics?** What I like best about Comments Analytics is its unparalleled accuracy in sentiment analysis. The service's advanced algorithms precisely capture and categorize sentiments, providing invaluable insights into user opinions. The user-friendly interface and real-time analytics make it seamless to navigate and derive actionable conclusions from the data. Additionally, the robust reporting features empower us to understand trends and sentiment shifts effectively. Overall, Comments Analytics significantly enhances our ability to comprehend and respond to user sentiments with confidence. **What do you dislike about Comments Analytics?** everything is ok and nothing for dislike in sentiment analysis services that I have used. **What problems is Comments Analytics solving and how is that benefiting you?** extracting the sentiment of our customer's feedback and representing them in an informative chart. ### 19. The name says it all! **Rating:** 4.5/5.0 stars **Reviewed by:** Aung Pyae O. | Social Media Marketing Specialist, Marketing and Advertising, Small-Business (50 or fewer emp.) **Reviewed Date:** March 19, 2024 **What do you like best about Comments Analytics?** Being able to customize sentiment analysis to fit my specific needs. And easy integrations with social media channels and form tools. **What do you dislike about Comments Analytics?** There's no Heat Map feature. It'd be great if it included. **What problems is Comments Analytics solving and how is that benefiting you?** saves a lot of time, improve customer experience and reputation of Brand ### 20. Named Entity Recognition (NER) **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** December 16, 2023 **What do you like best about Comments Analytics?** Incorporating Named Entity Recognition (NER) detection within the Comment Analytics service has revolutionized the way I analyze and understand user comments. NER detection adds a layer of sophistication by automatically identifying and categorizing named entities such as names, locations, organizations, and more within the comments. This capability provides valuable insights into the specific entities mentioned, allowing for a deeper understanding of the context and sentiment expressed in the comments. By swiftly extracting and categorizing these entities, the Comment Analytics service enhances my ability to grasp the nuances of user interactions, enabling more targeted and informed decision-making. This powerful feature not only streamlines content moderation but also opens avenues for personalized engagement and strategic content management, contributing to a more insightful and efficient comment analysis process. **What do you dislike about Comments Analytics?** The NER service consistently excels in identifying and categorizing entities, ensuring a reliable and efficient analysis without uncovering any undesirable content. **What problems is Comments Analytics solving and how is that benefiting you?** Finding Named-Entity in comments ### 21. Keyword extraction **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** December 12, 2023 **What do you like best about Comments Analytics?** Keyword extraction from comments analytics can significantly benefit my business in various ways. Firstly, it allows for efficient data processing, enabling you to quickly identify the most relevant and frequent topics mentioned in customer feedback. This can lead to better understanding of customer needs and preferences, providing valuable insights for product development and marketing strategies. Secondly, it streamlines the sentiment analysis process, helping you gauge public opinion about my products or services more accurately. By analyzing the most common keywords, I can pinpoint areas of strength and weakness, allowing for targeted improvements and proactive customer service. Thirdly, keyword extraction can enhance market research efforts by identifying emerging trends and customer concerns, keeping your business ahead of the competition. This can lead to more effective advertising campaigns and content strategies, tailored to address the most pressing customer interests. Overall, integrating keyword extraction into your comments analytics process can lead to more informed decision-making, improved customer satisfaction, and increased business growth. **What do you dislike about Comments Analytics?** Comments Analytics works perfectly in my experience. **What problems is Comments Analytics solving and how is that benefiting you?** Keyword extraction, Sentiment analysis, Category extraction ### 22. Sentiment Extraction **Rating:** 5.0/5.0 stars **Reviewed by:** leila s. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2023 **What do you like best about Comments Analytics?** I used Comments Analytics to extract sentiments from my large file text. The accuracy and import Excel method is suitable for me to start my Bulk Request and export my result as an Excel file. **What do you dislike about Comments Analytics?** The accuracy and speed of the service for my large text file is promising and have not found any disliked feature. **What problems is Comments Analytics solving and how is that benefiting you?** Sentiment Extraction of text file ### 23. Sentiment Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Tamaori H. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 25, 2023 **What do you like best about Comments Analytics?** Using a sentiment analysis service in my business has proven invaluable, providing real-time insights into customer sentiments, enabling proactive response to feedback, and ultimately enhancing customer satisfaction and brand perception. **What do you dislike about Comments Analytics?** Using more language besides English to the analysis of sentiment for different comments sources. **What problems is Comments Analytics solving and how is that benefiting you?** Sentiment Analysis - [View Comments Analytics pricing details and edition comparison](https://www.g2.com/products/comments-analytics/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-18+17%3A01%3A03+-0500&secure%5Bsession_id%5D=ddd9a29a-90f4-465f-931c-5e017072f2bd&secure%5Btoken%5D=4c93481d4469ddbeddce9dbaf5ed8ed051f4bb788348dc6d580361061ae30ba1&format=llm_user) ## Comments Analytics Features **Feedback Management** - Tagging - Segmentation - Custom Reports and Dashboards **Setup** - Integration - Maintenance - No-Code **Brand Signals** - Comparison - AI - Brand Health **Generative AI** - AI Text Generation - AI Text Summarization **Process** - Mentions - Tickets - Macros **Feedback Analysis** - Thematic Analysis - Sentiment Analysis **Data** - Security - Data Visualization **Brand Analytics** - Trend Analysis - Tracking **Channels** - Email - Social - Live Chat - Phone - Text **Feedback Sources** - Online Reviews - Surveys - Social Media - Customer Service Channels **Analysis** - Automation - Named entity recognition - Keyphrase Extraction - Topic Analysis - Sentiment Analysis - Language Identification - Syntax/Part of Speech Parsing **Insight** - Surveys - Reporting - Visitor Activity - Help Desk **Customization** - Pre-Built Parameterization - Custom Extension - Compositionality **Generative AI** - AI Text Generation - AI Text Summarization ## Top Comments Analytics Alternatives - [LiveAgent](https://www.g2.com/products/liveagent/reviews) - 4.5/5.0 (1,480 reviews) - [Qualtrics Customer Experience](https://www.g2.com/products/qualtrics-customer-experience/reviews) - 4.3/5.0 (724 reviews) - [Kapture CX](https://www.g2.com/products/kapture-cx/reviews) - 4.5/5.0 (327 reviews)