Last updated on
Company health
Ratings
Comments Analytics description
Comments Analytics uses AI to analyze text from online sources like social media and product reviews. It tells you what customers really think about your brand and products by identifying sentiment, topics, and trends. This helps you manage your reputation, improve products, and make better business decisions.
Who is Comments Analytics best for
Comments Analytics is an AI-powered text analysis tool ideal for small businesses looking to understand customer feedback from online sources. It excels at sentiment analysis, topic extraction, and trend identification, enabling data-driven decisions. Users praise its accuracy and ease of use, while some desire more visualization options and integrations.
-
Best fit for small businesses seeking to analyze customer feedback.
-
Suitable for businesses focused on customer feedback analysis, regardless of industry.
Comments Analytics features
| Supported Comments Analytics automates data analysis with sentiment analysis and pattern identification. |
| Supported Comments Analytics supports sentiment analysis, topic extraction, and word clouds for open-ended surveys. |
| Supported Comments Analytics supports sentiment analysis, categorizing text as positive, negative, or neutral. |
| Supported Comments Analytics analyzes feedback and identifies trends using sentiment analysis, category and keyword extraction. |
We evaluate the sentiment that users express about non-functional aspects of the software
Ease of Use
Reliability and Performance
Comments Analytics reviews
We've summarised 22 Comments Analytics reviews (Comments Analytics G2 reviews) and summarised the main points below.
- Accurate sentiment analysis and user feedback analysis.
- Easy integration with various data sources.
- Customizable sentiment analysis to fit specific needs.
- Efficient keyword extraction and word cloud generation.
- Effective named entity recognition (NER) detection.
- No heatmap feature.
- Lack of API for keyword extraction.
- Limited CRM integrations (e.g., Zapier).
- Desire for more intuitive charts and visualization options.
- Need for multi-language support beyond English.
Comments Analytics pricing
Users sentiment
See the Comments Analytics pricing page.
-
Comments Analytics has a free plan.
Free
Includes 50 queries.
Starter
Includes 1,000 queries.
Team
Includes 10,000 queries.
Comments Analytics alternatives
BirdeyeBetter for multi-location businesses, particularly in healthcare, retail, or finance. It has more momentum in terms of employee growth. A popular Birdeye alternative for reputation management and customer experience.Read more
SemanticForceBetter for larger enterprises. Focuses on brand reputation, market research, and customer support. Has slower momentum.Read more
Bellomy AI AnalyticsGeared towards medium to large businesses with a consumer focus. Is growing slower and has received mixed reviews on Glassdoor.Read more
Qualtrics CoreXMBetter for enterprise customers. Focuses on surveys and quantitative data, unlike Comments Analytics, which analyzes qualitative feedback. Broader industry applicability.Read more
DevRevBetter fit for SaaS businesses needing integrated customer support and product development. Has significantly more momentum.Read more
ClickUpBetter for comprehensive work management, team collaboration, and project planning. A ClickUp alternative for those focused on feedback analysis.Read more
Comments Analytics FAQ
What is Comments Analytics and what does Comments Analytics do?
Comments Analytics uses AI-powered text analysis to reveal customer sentiment, topics, and trends from online sources like reviews and social media. This helps businesses manage their online reputation, improve products, and make data-driven decisions.
How does Comments Analytics integrate with other tools?
Comments Analytics offers easy integration with various data sources for streamlined data analysis. However, users desire more CRM integrations like Zapier and an API for keyword extraction. It excels in sentiment analysis, topic extraction, and word cloud generation.
What the main competitors of Comments Analytics?
Top alternatives to Comments Analytics include Birdeye, SemanticForce, Qualtrics CoreXM, and Bellomy AI Analytics. These competitors offer similar features like sentiment analysis, social listening, and customer feedback analysis, catering to various business needs and sizes.
Is Comments Analytics legit?
Yes, Comments Analytics is a legitimate software. It's known for accurate sentiment analysis and user feedback analysis, making it safe for analyzing online text data. However, some users desire more intuitive charts and visualization options.
How much does Comments Analytics cost?
I couldn't find pricing details for Comments Analytics. Contact the vendor directly to determine if Comments Analytics is worth the investment for your needs. Product pricing and available plans can vary.
Is Comments Analytics customer service good?
There is no customer service information available for Comments Analytics. However, users praise its accurate sentiment analysis, easy integration with data sources, and customizability. Some users desire more intuitive charts and broader language support.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.