What are the Best Customer Sentiment Analysis Tools?
As businesses continue to adapt to changing consumer behaviors and preferences in an increasingly digital world, understanding customer sentiment has become more important than ever. Fortunately, there are numerous tools available that can help companies analyze customer feedback and gain valuable insights into their thoughts and feelings. In this article, we will explore some of the best customer sentiment analysis tools set to dominate the market in 2025. Looking at some of the top software in the market –
- Brandwatch – a tool to understand consumers, brands, and the market.
- Hootsuite – a social listening tool to monitor online conversations about the brand, products, and emerging trends with enhanced social listening. Plus, understand consumer behavior and brand sentiment.
- Repustate – a software that collects valuable customer sentiment data from reviews, surveys, and social media comments helping businesses decrease customer churn and deliver a better customer experience.
- Lexalytics Intelligence Platform – an NLP and machine learning platform that transforms mountains of hashtags, slang, and poor grammar into structured data and useful insights.
- Qualtrics – a software that delivers better experiences in contact centers and across every digital and physical touchpoint.
- 42Signals – an AI-powered solution suite for brands to understand customer sentiment and anticipate consumer demand.
We will delve into their features, benefits, pricing and provide relevant links to each tool’s official website for further information.
The Top Customer Sentiment Analysis Tools
Brandwatch
Brandwatch is a social listening platform that offers advanced customer sentiment analysis capabilities. Its Consumer Research product uses natural language processing (NLP) algorithms to analyze vast amounts of data from various sources such as social media platforms, blogs, news sites, and review websites. The tool provides real-time alerts on significant shifts in brand perception, enabling brands to take timely action.
Key Features
- Advanced NLP algorithms for accurate sentiment analysis
- Real-time alert system for sudden changes in brand perception
- Integration with other marketing and sales tools like Salesforce and HubSpot
- Customizable dashboards and reporting options
Pricing Plan
The prices for the product aren’t disclosed on the company’s website, but they have different solutions based on the requirements.
Hootsuite Customer Sentiment Tool
Hootsuite Insights is another powerful customer sentiment analysis tool built on top of Brandwatch technology. It allows users to monitor mentions of keywords, phrases, or competitors across multiple channels including social media, online news outlets, and forums. With its intuitive interface and easy-to-use analytics dashboard, Hootsuite Insights makes it simple to track and understand customer sentiment.
Image Source: Hootsuite
Key Features
- Comprehensive monitoring of keyword mentions across multiple channels
- Accurate sentiment analysis using NLP algorithms
- Easy-to-understand visualizations and reports
- Integrations with popular social media management tools
Pricing
Starting at $29 per month for the Professional plan; contact Hootsuite for Enterprise pricing.
Repustate
Repustate is an AI-powered text analytics platform specializing in sentiment analysis. This versatile tool supports multiple languages, making it ideal for global brands seeking deeper insights into international markets. Repustate also integrates easily with existing systems, allowing organizations to leverage their existing data sources without having to invest in new infrastructure.
Image Source: Repustate
Key Features
- Supports multiple languages for comprehensive sentiment analysis
- Seamless integration with existing systems and databases
- Intuitive user interface and flexible API access
- Ability to identify trends and patterns within large datasets
Pricing
Plans start at $500 per month for small teams; enterprise plans are also available upon request.
Lexalytics Intelligence Platform
Lexalytics is a leading provider of text analytics solutions designed specifically for business applications. Their intelligence platform combines machine learning algorithms with human expertise to deliver highly accurate sentiment analysis results. Additionally, the platform includes a wide range of pre-built connectors for seamless integration with common CRM, CX, and big data platforms.
Image Source: Lexalytics
Key Features
- A hybrid approach combining ML algorithms and human expertise for superior accuracy
- Pre-built connectors for popular CRM, CX, and big data platforms
- Flexible deployment options, including cloud-based and on-premise implementations
- Scalable architecture capable of handling massive volumes of data
Pricing
The pricing details aren’t published on the website, for more details, contact the team directly.
Qualtrics
Qualtrics is an end-to-end customer experience management solution focused on extracting meaningful insights from unstructured data. By leveraging sophisticated NLP techniques, this robust tool helps businesses better understand customer opinions and emotions while identifying areas where improvements can be made.
Furthermore, Qualtrics offers extensive consulting services aimed at optimizing CX strategies through expert guidance and strategic planning.
Image Source: Qualtrics
Key Features
- Deep dive into customer opinions and emotions with advanced NLP capabilities
- Actionable recommendations for improving CX based on analyzed data
- Extensive consulting services for tailored CX strategy development
- User-friendly interface simplifying data exploration and interpretation
Pricing
The pricing details aren’t published on the website, for more details, contact the team directly.
42Signals – One of the Best Customer Sentiment Analysis Tools
42Signals is a customer sentiment analysis tool for consumer brands to anticipate consumer demand, track competition, optimize digital shelves, and grow online sales. With the Voice of Customer Analytics feature, the platform helps identify the most relevant topics discussed by consumers by sifting through millions of product reviews.
Key Features of this Customer Sentiment Analysis Tool
- Comprehend customer sentiment by diving deep into contextual text mining to grasp what customers truly want.
- Analyze millions of reviews across platforms to decode positive and negative product sentiments.
- Understand customer preferences and pain points to enhance product offerings and confidently introduce new ones.
- Conduct comprehensive studies against competitors using cross-platform review data, understanding user intentions and consumer behavior.
- Custom reports catering to your unique needs, visualization freedom with clear and concise dashboards, and actionable data that are specific to your brand and requirements.
With 42Signals –
- Gain a deep understanding of consumer behavior by tapping into their needs, feedback, and frustrations.
- Discover opportunities and threats to market products and services.
- Leverage user-generated keywords to optimize copy and drive conversion.
Pricing for the Customer Sentiment Analysis Tool
As the solution is customized per need, schedule a demo to explore the solution and find the answers to your questions.
Conclusion on Customer Sentiment Analysis Tools
As competition intensifies across industries, staying attuned to customer sentiment becomes crucial for maintaining a competitive edge. These six customer sentiment analysis tools offer cutting-edge technologies, ease of use, and scalability – ensuring they remain among the most sought-after solutions throughout 2025 and beyond.
Frequently Asked Questions on Customer Sentiment Analysis Tools
Can ChatGPT do sentiment analysis?
Yes, ChatGPT can perform basic sentiment analysis when provided with text input. It can identify if the tone of a sentence is positive, negative, or neutral, and even explain why.
However:
- It does not replace specialized sentiment analysis APIs for large-scale or automated use cases
- It’s ideal for manual evaluation, customer support triage, or prototyping ideas
You can also ask ChatGPT to write Python code using tools like TextBlob or VADER if you want to implement sentiment analysis in your own projects.
What are the three types of sentiment analysis?
The three primary types of sentiment analysis are:
- Polarity-Based Sentiment Analysis
- Classifies text as positive, negative, or neutral
- Most common type used in surveys, reviews, and social media
- Emotion Detection Analysis
- Goes deeper by identifying specific emotions such as happiness, anger, sadness, or frustration
- Used in brand monitoring and customer experience research
- Aspect-Based Sentiment Analysis
- Analyzes sentiment toward specific features or topics within a larger text
- Example: “The battery life is amazing, but the screen is dull” → Positive sentiment for battery, negative for screen
What is sentiment analysis for CSAT?
Sentiment analysis for CSAT (Customer Satisfaction Score) is the process of analyzing open-ended feedback from CSAT surveys to understand customer emotions and themes behind the score.
It helps teams go beyond the numbers by:
- Identifying what drives high or low satisfaction
- Grouping responses by emotional tone (e.g., “frustrated,” “happy,” “confused”)
- Highlighting product issues, support gaps, or UX friction points
- Prioritizing improvements based on customer sentiment patterns
Example: Two customers give a CSAT score of 3/5 — one says, “Support was helpful but slow,” while the other says, “Totally unhelpful.” Sentiment analysis adds emotional context that the score alone cannot.
