Claire FountainWondering what your customers really think of you, but have too many surveys and reviews to sift through manually?
A sentiment analysis tool can help you decode the mystery to identify what your customers love (and hate) about your business.
Here are the five best ones to use for your business.
We offer this website completely free to our visitors. To help pay the bills, we’ll often (but not always) set up affiliate relationships with the top providers after selecting our favorites. However, we do our best not to let this impact our choices. There are plenty of high-paying companies we’ve turned down because we didn’t like their product.
An added benefit of our relationships is that we always try to negotiate exclusive discounts for our visitors.
Our Favorite Sentiment Analysis Tools for Surveys, Reviews, and Comments
Platform | Best for | My Rating (Out of 5) | Price |
|---|---|---|---|
| Brand24 | Best for PR and marketing | 4.5 | From $119 for individual plan |
| Qualtrics | Best for large enterprises | 4 | Custom |
| Sprout Social | Best for marketing companies | 4 | From $199/seat per month |
| OpenText | Best for finance | 4 | Custom |
| Meltwater | Best for media | 4 | Custom |
1. Brand24
Best for PR and marketing
Brand24 is an ideal sentiment analysis tool for small to mid-sized businesses, especially those in PR or customer service, thanks to its comprehensive features, user-friendly interface, and relative affordability.
Its advanced filtering, sentiment analysis, and AI-powered insights help businesses monitor their brand reputation, detect crises early, and analyze customer sentiment across multiple platforms.
This versatility makes it particularly suited for industries like marketing, PR, and customer service, where understanding and responding to online conversations is most important.
Brand24’s intuitive design allows businesses to make data-driven decisions without needing extensive in-house analytics resources.
Pros
- Comprehensive Social Media Monitoring – Brand24 covers multiple social platforms, allowing businesses to track mentions and gather insights from all of their channels.
- User-Friendly Interface – The software itself is intuitive and easy-to-use, making it accessible for users with varying technical skills.
- Advanced Filtering and AI Insights – Precise filters and AI-powered insights help businesses focus on relevant data to make informed decisions.
- Crisis Detection – Tools like the AI Anomaly Detector enable early crisis identification and management.
Cons
- Limited Sentiment Analysis Accuracy – Some other users report occasional inaccuracies in determining sentiment.
- Slow Support Response – You could experienc some delays in receiving support responses.
2. Qualtrics
Best for large enterprises
Own an enterprise? Qualtrics should be your choice.
Qualtrics is one of the best sentiment analysis tools for surveys, reviews, and comments, offering comprehensive customer feedback centralization across channels like surveys and voice analytics.
Its advanced features, including text analytics, predictive insights, and closed-loop follow-up, transform customer insights into actionable data, enhancing customer experience and retention.
Best suited for large enterprises across industries like retail, banking, healthcare, and education, Qualtrics offers powerful customization and predictive analytics, making it ideal for managing large-scale feedback and driving data-driven decisions at scale.
Pros
- Comprehensive Feedback Centralization – Qualtrics consolidates feedback across channels, including surveys, voice, and text analytics, for a holistic customer view.
- Advanced Analytics – Features like predictive insights and action planning help businesses turn data into actionable strategies.
- User-Friendly Platform – The interface is intuitive and easy to manage, even for large-scale experience management efforts.
- Customizable Dashboards – Businesses can create detailed, customized dashboards to monitor key metrics.
Cons
- Occasional Slow Performance – Some users experience delays when loading large dashboards.
- Limited Support Response – Users report longer wait times for support, especially over the phone.
3. Sprout Social
Best for marketing companies
Sprout Social is another one of the top sentiment analysis tools, offering features like AI-driven insights, keyword monitoring, and real-time review management.
Its advanced analytics, which includes 150+ metrics and custom reports, empower businesses to make smarter, data-driven decisions.
This one is best for mid-sized to large enterprises in industries like marketing and retail, as they’re best at managing high engagement and multiple social profiles, making it perfect for teams needing real-time insights and collaboration to improve social media strategies and customer engagement.
Pros
- AI-Driven Insights – Potent AI tools help uncover trends, customer sentiment, and competitor insights for smarter decision-making.
- Comprehensive Analytics – Over 150 metrics and custom reports allow for deep data analysis and actionable insights for business owners.
- Smart Inbox – Centralized smart inbox makes it easy to monitor and respond to social media interactions in real-time.
- User-Friendly Interface – Intuitive design makes managing social media profiles and collaboration across teams simple.
Cons
- Occasional Technical Glitches – Some other users reported minor bugs and occasional disconnection from social profiles.
- High Cost – The pricing is on the higher end, especially for smaller teams or agencies.
4. OpenText
Best for finance
OpenText is one of the best sentiment analysis tools for finance companies due to its powerful AI-driven capabilities and secure data management solutions.
With features like predictive analytics, AI-powered search, and enterprise content management, it helps finance companies efficiently process huge volumes of customer data while ensuring compliance and security.
Its integration abilities with existing platforms like SAP allows finance companies to streamline workflows, enhance customer experience, and make data-driven decisions, making it a top choice for managing both structured and unstructured financial data at scale.
Pros
- Seamless Integration – Strong integration options with platforms like SAP enhances workflow efficiency.
- Customizable Solutions – Fexibility to tailor the platform to specific business needs, making it versatile for various industries.
- Robust Document Management – Perfect for securely handling large volumes of documents and financial data.
- Scalable Solutions – Suitable for mid-market and large enterprises, especially ones requiring high-level security and compliance.
Cons
- Support Delays – Sometimes slow customer service and response times.
- Complex Setup – Initial setup and onboarding is tricky and time-consuming.
5. Meltwater
Best for media companies
Meltwater is a great sentiment and customer review analysis tool for media companies thanks to its robust media monitoring and social listening capabilities.
It lets media companies track brand mentions, competitor activity, and audience sentiment in real-time across multiple different platforms, including news outlets, social media, and blogs.
Meltwater’s advanced analytics and customizable dashboards provide actionable insights, helping media companies stay in-the-know about industry trends, evaluate and analyze public sentiment, and fine-tune their content strategy based on audience feedback and media coverage.
Pros
- Comprehensive Media Monitoring – Meltwater provides detailed media monitoring across different platforms, enabling broad visibility of brand mentions.
- Real-Time Alerts – The platform is able to send timely alerts for important keyword mentions and trends.
- Customizable Dashboards – Meltwater offers customizable dashboards, allowing users to organize and visualize data easily.
- Strong Customer Support – Meltwater has super responsive customer service and onboarding process.
Cons
- High Cost – The pricing is steep, especially for smaller businesses.
- Steep Learning Curve – The platform’s interface and advanced features can be a bit challenging to master in the beginning.
What Is a Sentiment Analysis Tool?
A sentiment analysis tool is a software application that uses natural language processing (NLP) and machine learning (ML) to analyze and interpret the emotions or opinions expressed in text.
This analysis is typically applied to surveys, reviews, social media posts, chat sessions, and customer comments, enabling companies to make data-driven decisions, improve customer experiences, and identify trends or issues in real-time.
It helps businesses understand customer attitudes and feelings by categorizing text data as positive, negative, or neutral.
It basically synthesizes and analyzes your customer reviews and surveys to give you an idea of what customers think of your product or service as a whole.
How Do Sentiment Analysis Tools Work?
Sentiment analysis tools work by using natural language processing (NLP) and machine learning algorithms to process text data including customer reviews, social media posts, or surveys.
The tool breaks down the text into components and analyzes them to detect emotional tone and categorize it as positive, negative, or neutral. These tools usually use predefined dictionaries, machine learning models, or deep learning techniques to determine sentiment.
The results are then presented in reports or visual dashboards to help businesses gain insights into customer emotions and trends and make choices accordingly.
Frequently Asked Questions
What is the best sentiment analysis tool?
The best sentiment analysis tool depends on your needs, but top options include Brand24, Qualtrics, and Sprout Social for comprehensive features and user-friendly interfaces.
How to do sentiment analysis on comments?
To perform sentiment analysis on comments, use tools that process text through natural language processing (NLP) algorithms, which categorize the sentiment as positive, negative, or neutral based on the language used.
Which method is best for sentiment analysis?
Supervised machine learning models like Support Vector Machines (SVM) or deep learning models like neural networks are often considered the best methods for accurate sentiment analysis.
What is the best model for sentiment analysis?
Transformer-based models like BERT (Bidirectional Encoder Representations from Transformers) are among the best models for sentiment analysis due to their contextual understanding of language.
Geoff Cudd
