--- title: Comments Analytics Reviews meta_title: 'Comments Analytics Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 23 reviews by the users' company size, role or industry to find out how Comments Analytics works for a business like yours. aggregate_rating: rating_value: 4.8 review_count: 23 scale: '5' date_modified: '2026-07-13' parent_category: name: Customer Service url: https://www.g2.com/categories/customer-service --- # 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 find the **accuracy of feedback analysis** essential for improving products and understanding customer sentiment effectively. (1 reviews) - Users value the **ease of understanding** provided by Comments Analytics, making data interpretation straightforward and user-friendly. (1 reviews) - Users praise the **ease of use** of Comments Analytics, thanks to its user-friendly interfaces for smooth navigation. (1 reviews) - Users value the **efficiency** of Comments Analytics, enabling smooth navigation and insightful sentiment analysis for product improvement. (1 reviews) - Users value the **efficiency improvement** of Comments Analytics, facilitating smooth navigation and insightful feedback analysis. (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. 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 ### 5. 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. ### 6. 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. ### 7. 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. ### 8. 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 ### 9. 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 ### 10. 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 , .... - [View Comments Analytics pricing details and edition comparison](https://www.g2.com/products/comments-analytics/reviews/comments-analytics-review-8898196?section=pricing&secure%5Bexpires_at%5D=2026-07-15+08%3A23%3A44+-0500&secure%5Bsession_id%5D=6b2a1f68-4912-41bc-b15f-efba6d8ac725&secure%5Btoken%5D=4efab135abc09e51a0fef672d0876913e6ae13674741193f9d936887baa3b37b&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 (1,481 reviews) - [Qualtrics Customer Experience](https://www.g2.com/products/qualtrics-customer-experience/reviews) - 4.3/5.0 (725 reviews) - [Kapture CX](https://www.g2.com/products/kapture-cx/reviews) - 4.5/5.0 (330 reviews)