Every day, your customers share what they honestly think about your brand through in-app reviews, survey responses, social posts, and support chats. It’s a goldmine of insight.
The tricky part is making sense of it all. Thousands of comments, dozens of channels, endless spreadsheets. Your brain can only handle so much.
Sentiment analysis tools use artificial intelligence (AI) and natural language processing (NLP) to read through all that feedback and surface the patterns: what’s delighting people, what’s frustrating them, and what needs your attention first.
We’ve pulled together some of the best options to help you listen at scale. Let’s go! 🎧
14 Best Sentiment Analysis Tools in 2026
- Top Sentiment Analysis Tools at a Glance
- What Should You Look for in Sentiment Analysis Tools?
- The Best Sentiment Analysis Tools for Customer-Centric Teams
- 1. ClickUp (Best for task-management and feedback workflows)
- 2. IBM Watson Discovery (Best for multilingual enterprises analyzing complex documents)
- 3. Google Cloud Natural Language API (Best for teams wanting straightforward API pricing without contracts)
- 4. Amazon Comprehend (Best for AWS-based businesses needing aspect-level sentiment breakdown)
- 5. Talkwalker (Best for catching brand mentions across video, images, and audio)
- 6. Lexalytics (Best for sentiment analysis across industry jargon)
- 7. Brandwatch (Best for detecting specific emotions alongside sentiment scores)
- 8. Brand24 (Best for sharing real-time alerts that catch sudden sentiment shifts)
- 9. Sprout Social (Best for managing social media response alongside sentiment analysis)
- 10. Hootsuite (Best for unified sentiment monitoring across social media)
- 11. Qualtrics XM Discover (Best for analyzing emotion across every customer interaction channel)
- 12. Chattermill (Best for turning feedback data into precise, actionable patterns)
- 13. Meltwater (Best for PR teams tracking how media and public perception shifts)
- 14. Medallia (Best for capturing sentiment across every customer touchpoint and interaction)
Summarize this article for me pleaseTop Sentiment Analysis Tools at a Glance
Here are the top sentiment analysis tools. ⚒️
| Tool | Best for | Best features | Pricing |
| ClickUp | Task-management and feedback workflows for product, support, and CX teams | ClickUp Forms for efficient feedback collection with customizable surveys; ClickUp Brain to ask natural language questions about your data; AI Fields to automate sentiment classification; Dashboards with AI Cards for in-depth analysis; ClickUp Agents for smart workspace monitoring | Free forever; customizations available for enterprises |
| IBM Watson Discovery | Multilingual enterprise analysis of large, complex document collections | Tone-layering and emotion granularity; Large-scale batch processing; Cross-language support; Structured exports for data warehouses | Free trial; paid plans start at $500 |
| Google Cloud NLP | Simple, pay-as-you-go API access for engineering teams and devs | Sentiment magnitude + polarity; Entity-level sentiment; Automatic language detection; Cloud Storage file analysis | Free trial; custom pricing |
| Amazon Comprehend | AWS-native aspect-level sentiment for product and review analysis | Aspect (feature) sentiment breakdown; PII detection; Custom entity training; Free monthly units for testing | Free trial; custom, unit-based pricing |
| Talkwalker | Multimodal brand listening across video, images, audio, and text for PR and comms teams | Multimodal monitoring (video/image/audio); Five-year historical indexing; Real-time spike alerts; Sarcasm-aware models | Custom pricing |
| Lexalytics | Industry-specific sentiment for teams needing domain-aware NLP | Industry jargon models; On-prem/cloud/hybrid deployment; Multilingual native processing; API integration (Semantria) | Free trial; custom pricing |
| Brandwatch | Emotion-level detection and cultural context for global social teams | Emotion taxonomy (joy, anger, fear, etc.); Emoji and cultural context handling; Interactive dashboards; Benchmarking | Custom pricing |
| Brand24 | Real-time alerting for sudden sentiment shifts and influencer discovery | Real-time anomaly alerts; Combined reach/impression metric; Influencer identification; Platform/location filters | Free trial; paid plans start at $199/month |
| Sprout Social | Social teams needing unified publishing + sentiment triage | Message sorting by sentiment; Listening queries + scheduling; Slang/emoji handling; Manual classification for training | Free trial; paid plans start at $199/user/month |
| Hootsuite | Unified social listening and basic sentiment monitoring across channels | Cross-platform mention tracking; Competitor sentiment benchmarking; Trending topic + sentiment combination; Listening + publishing integration | Free trial; paid plans start at $149/user/month |
| Qualtrics XM Discover | Cross-channel emotion and intent analysis for CX organizations | Conversation analytics across calls, chat, surveys; Industry-specific prebuilt models; Automated routing workflows | Custom pricing |
| Chattermill | Theme-driven feedback analysis for product and support teams | Natural-language querying; Automatic theme extraction; Real-time alerts on new issue themes; Actionable pattern surfacing | Custom pricing |
| Meltwater | PR and media teams tracking earned media sentiment and share of voice | Sentence-level sentiment; Historical benchmarking; API exports for BI tools; Spike detection and alerts | Custom pricing |
| Medallia | Enterprise feedback capture and closed-loop action for CX programs | Closed-loop workflows on negative sentiment; Cross-touchpoint dashboards; Themed extraction from open text; Video feedback support | Custom pricing |
Summarize this article for me pleaseWhat Should You Look for in Sentiment Analysis Tools?
With dozens of brand sentiment analysis tools on the market, finding the right fit can feel overwhelming. The best tool for your business will depend on your data volume, the platforms you use, and how deep you need your analysis to go. Here’s what to prioritize:
- Accuracy and contextual understanding: Look for tools that detect sarcasm, irony, and nuanced language rather than just basic positive or negative classifications
- Multilingual support: Choose a platform that analyzes content across multiple languages if you serve global audiences
- Seamless integrations: Ensure compatibility with your CRM, social media platforms, and customer support systems
- Analysis depth: Determine whether you need simple polarity analysis or aspect-based sentiment that identifies feelings toward specific features
- User-friendly dashboard: Prioritize intuitive interfaces that make insights accessible to your entire team without technical expertise
- Data privacy compliance: Verify that the tool meets regulations like GDPR, especially when handling customer or social media data
📮 ClickUp Insight: “It always falls on the same people!” is a sentiment shared by 65% of workers when it comes to invisible tasks.
(Like supporting that new hire through their first week of onboarding or pulling a weekender to close critical tasks. 👀)
But this uneven distribution can quickly become a breeding ground for resentment, burnout, and a poor team dynamic.
The fix? Pull your team together for a quick brainstorming session and map all those support tasks via ClickUp Tasks. Chart them on a list with clear owners (who have the bandwidth to support), and you’re good to go!
Summarize this article for me pleaseThe Best Sentiment Analysis Tools for Customer-Centric Teams
How we review software at ClickUp
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at ClickUp.
These are our picks for the best sentiment analysis tools. 👇
1. ClickUp (Best for task-management and feedback workflows)
ClickUp is the everything app for work that combines project management, knowledge management, and chat—all powered by AI that helps you work faster and smarter. Teams managing customer support, user insights, and feedback workflows tend to gravitate toward ClickUp because it brings sentiment analysis into the flow of work.
A strong starting point for this kind of workflow comes through ClickUp Forms, so let’s begin there.
Collect structured feedback
Forms in ClickUp are a structured way to capture feedback that flows directly into ClickUp Tasks. Teams rely on this setup for sentiment tracking because every submission funnels into an actionable workflow.
Suppose a customer success manager sends a post-demo form to prospects to gauge perceived value and hesitation points. Responses automatically convert into tasks with tagged sentiment. The CS team reviews these tasks weekly, picking up negative sentiment submissions for immediate ownership and action.
Now that feedback sits inside tasks, the next natural step involves sentiment interpretation.
Make sense of sentiment signals
ClickUp Brain enriches tasks with automatic sentiment detection.
Teams can set up an AI Field for sentiment on their feedback list. The AI Field runs on task descriptions, form responses, and comments, and then saves a label such as positive, neutral, or negative for each task.
What’s more, ClickUp Brain analyzes customer feedback across your workspace and answers sentiment questions instantly. You can ask direct queries, and it pulls context from form responses, survey answers, docs, or any connected work item. ClickUp Brain then lays out emotional trends, ratings, and the overall tone of the feedback.
📌 Try this prompt: Summarize the overall sentiment in recent customer responses in this list. Highlight the main emotions, the top recurring themes, and any shifts in tone that teams should address in the next review cycle.
The flow continues naturally into measurement, so teams can validate trends.
Learn more about AI Fields:
Track sentiment trends
Summarize sentiment across feedback cycles with ClickUp Dashboards. You create a dashboard, add cards that show metrics such as tasks by status, custom-field values, or time-tracked hours, then filter them by the sentiment field you’ve defined.
For example, if you’ve set up an AI Field in tasks that labels sentiment as positive, neutral, or negative, you can build a card in the dashboard to count how many tasks fall under each label for the last week.
You might notice that negative-sentiment items climbed this month in your ‘Customer Feedback’ list. That insight leads you to dig into those tasks and plan corrective steps.
ClickUp best features
- Track mood shifts in one view: Use AI Cards in ClickUp Dashboards to visualize sentiment trends across feedback, support tickets, and chat logs, so you spot emotional dips early
- React before problems escalate: Let ClickUp Agents monitor keywords like ‘frustrated’ or ‘cancel’ in chats and tickets, and then create tasks or alerts automatically
- Automate responses to sentiment signals: Set up ClickUp Automation to trigger escalation workflows when negative sentiment crosses a threshold, without waiting for manual checks
- Capture how people really feel, live: Add the ClickUp AI Notetaker to calls or support sessions to highlight tone changes, flagged issues, and follow-up items that reflect sentiment
- Keep interpretations aligned across teams: Discuss sentiment insights in one thread and convert those messages into tasks connected to the right account using ClickUp Chat
- Tap into multiple AI engines: Run sentiment checks across different LLMs (ChatGPT, Claude, Gemini), compare interpretations, and pull the most reliable emotional signal with ClickUp Brain MAX
- Log spoken reactions without friction: Dictate customer quotes, post-demo reactions, or internal readouts through ClickUp Talk to Text in Brain MAX to work 4x faster
- Connect all your customer touchpoints: Bring CRM notes, chat logs, email feedback, and support tickets into one workspace for a complete sentiment analysis with ClickUp Integrations
ClickUp limitations
- The width of features can lead to a bit of a learning curve, but ClickUp University’s free courses help
ClickUp pricing
free forever
Best for individual users
Free Free
Key Features:
60MB Storage
Unlimited Tasks
Unlimited Free Plan Members
unlimited
Best for small teams
$7 $10
Everything in Free +
Unlimited Storage
Unlimited Folders and Spaces
Unlimited Integrations
business
Best for mid-sized teams
$12 $19
Everything in Unlimited +
Google SSO
Unlimited Message History
Unlimited Mind Maps
enterprise
Best for many large teams
Get a custom demo and see how ClickUp aligns with your goals.
Everything in Business +
White Labeling
Conditional Logic in Forms
Subtasks in Multiple Lists
* Prices when billed annually
The world's most complete work AI, starting at $9 per month
ClickUp Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
ClickUp ratings and reviews
- G2: 4.7/5 (10,655+ reviews)
- Capterra: 4.6/5 (4,510+ reviews)
What are real-life users saying about ClickUp?
This G2 review says it all:
🧠 Fun Fact: More than 5% of English words used today have completely reversed polarity over the last 150 years (e.g., once ‘awful’ meant ‘full of awe,’ now it’s negative).
2. IBM Watson Discovery (Best for multilingual enterprises analyzing complex documents)
IBM Watson Discovery’s approach centers on understanding emotional nuance rather than just surface-level classification. The platform detects multiple tones simultaneously within the same text passage, identifying confidence, joy, fear, and analytical thinking in real customer communication.
The system processes massive document volumes efficiently without choking, which matters when you’re juggling thousands of daily interactions. Global teams benefit from native support across 10+ languages, meaning you don’t need to rebuild queries or integrate separate tools for different markets.
The platform integrates cleanly into IBM’s broader Cloud ecosystem if you’re already committed to that infrastructure.
IBM Watson Discovery best features
- Batch process 10,000+ documents in a single job to analyze customer feedback across your entire quarterly backlog at once
- Switch language pairs mid-stream, so multilingual feedback gets processed in one workflow without splitting datasets
- Layer tone detection onto your existing sentiment scores to isolate anger, confidence, and analytical thinking simultaneously
- Export tone data structured for downstream analysis in your data warehouse or CRM platform
IBM Watson Discovery limitations
- It requires cloud infrastructure setup through IBM’s ecosystem, which adds friction if you’re already committed elsewhere
- Free tier caps out at 30,000 items per month, forcing paid plans quickly for most organizations
- Custom model training takes significant expertise and time investment upfront
IBM Watson Discovery pricing
- Free trial
- Plus: Starts at $500
- Enterprise: Starts at $5,000
- Premium: Custom pricing
- IBM Cloud Pak for Data cartridge: Custom pricing
IBM Watson Discovery ratings and reviews
- G2: 4.5/5 (95+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about IBM Watson Discovery?
From a G2 review:
📖 Also Read: How to Measure and Track Your Share of Voice
3. Google Cloud Natural Language API (Best for teams wanting straightforward API pricing without contracts)
Google’s Natural Language API strips away complexity by delivering exactly what you ask for without extra layers. You send it text and get back both a sentiment score (where it lands on the positive-negative spectrum) and magnitude (how intensely that feeling registers).
The platform lets you query files sitting in Cloud Storage without re-uploading, or you can send raw text through REST APIs, depending on your workflow. Language detection happens automatically, so you don’t need to pre-categorize incoming text.
Entity sentiment analysis lets you understand how customers feel about specific things, such as competitors, product features,and people mentioned in reviews.
Google Cloud Natural Language API best features
- Request sentiment magnitude and polarity simultaneously to distinguish between a lukewarm positive and an enthusiastic endorsement from the same API call
- Analyze files stored in Google Cloud Storage without downloading or uploading them separately, saving bandwidth on large document collections
- Pipe text through language detection to handle multilingual feedback automatically without pre-sorting your dataset
- Target sentiment analysis at specific entities so you understand customer feelings about individual competitors, features, or people by name
Google Cloud Natural Language API limitations
- Entity sentiment analysis only works in English, limiting multilingual teams who need aspect-level detail
- Accuracy fluctuates based on how complex or domain-specific the text gets—medical terminology or legal language trips it up
- Single request per document restriction means you can’t analyze different sections independently in one call
- Zero visualization or dashboarding built in, so you’re building your own reporting layer from scratch
Google Cloud Natural Language API pricing
- Free trial
- Custom pricing
Google Cloud Natural Language API ratings and reviews
- G2: 4.3/5 (95+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Google Cloud Natural Language API?
A G2 review shares:
🔍 Did You Know? Despite all the tech, sentiment analysis tools still struggle with sarcasm, idioms, and context. For example, the phrase ‘Just great, another glitch!’ could be misread as positive just because of ‘great.’
4. Amazon Comprehend (Best for AWS-based businesses needing aspect-level sentiment breakdown)
If your infrastructure already runs on AWS, Amazon Comprehend makes sense as a natural next step.
The platform’s real differentiation is aspect-based sentiment analysis. Instead of only knowing whether customers are overall feeling positive or negative, you isolate exactly which product elements drive satisfaction or complaints.
A review might praise battery life and design while criticizing customer service, and Comprehend breaks that apart into separate sentiment signals.
It supports 12 languages, handles PII detection, and offers key phrase extraction as built-in capabilities, so you get multiple analytical angles without juggling separate tools. Custom model training allows classification or entity recognition tailored to your industry’s vocabulary and quirks.
Amazon Comprehend best features
- Break down review sentiment by aspect so a single customer comment yields multiple sentiment signals for product features, design, and support independently
- Train custom entity models on your product taxonomy so the platform automatically flags mentions of specific SKUs, features, or competitor names
- Scrub personally identifiable information from text before storing it in your systems for compliance and privacy protection
- Leverage 50,000 free monthly units for the first year to test at production scale before optimizing your cost structure
Amazon Comprehend limitations
- Custom models and entity recognition require training data collection and model tuning; this isn’t a set-it-and-forget-it situation
- Batch processing is the primary model; real-time streaming requires architecture work on your end
- Costs escalate quickly beyond free tier limits, especially for teams analyzing millions of texts monthly
Amazon Comprehend pricing
- Free trial
- Custom pricing (based on units)
Amazon Comprehend ratings and reviews
- G2: 4.2/5 (70+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Amazon Comprehend?
A G2 reviewer writes:
5. Talkwalker (Best for catching brand mentions across video, images, and audio)
Most social listening tools peak at text analysis and call it a day. Talkwalker assumes the internet is multimodal; people discuss brands in video, images, audio, and text across 30+ social networks and 150 million websites simultaneously.
It indexes video content and can analyze what people are saying without requiring manual transcription first. The same goes for images with captions or audio snippets.
The Blue Silk AI engine reaches 90% accuracy on sentiment detection and understands sarcasm. Additionally, real-time alerts notify you immediately when sentiment suddenly tanks or spikes, giving you minutes to respond instead of discovering problems after they’ve already exploded across social media.
Talkwalker best features
- Monitor video, image, and audio content for brand mentions without transcribing manually, capturing multimodal sentiment across social platforms
- Identify visual mentions of your brand using AI-powered image recognition to track over 30,000 brand logos
- Pull five years of historical data to compare year-over-year perception trends and identify cyclical patterns in customer sentiment
- Configure thresholds that fire alerts only when sentiment drops by a specific percentage in particular regions or channels
Talkwalker limitations
- Setting up accurate listening queries requires expertise; you need to know Boolean search operators and how to structure queries that capture the conversations you care about
- Sentiment accuracy varies significantly by industry and topic specificity, sometimes requiring manual refinement for niche discussions
Talkwalker pricing
- Custom pricing
Talkwalker ratings and reviews
- G2: 4.3/5 (135+ reviews)
- Capterra: 4.4/5 (20+ reviews)
What are real-life users saying about Talkwalker?
A Capterra review says:
🧠 Fun Fact: Tools for historians now use sentiment analysis to study older texts. The Sentiment by Timeframe visualization helps researchers track how public mood shifts across decades by analyzing newspapers, speeches, and letters.
6. Lexalytics (Best for sentiment analysis across industry jargon)
Unlike tools that offer an all-in-one social management suite, Lexalytics focuses purely on the accuracy and depth of unstructured data analysis, uncovering deep insights from text, including social media data.
Lexalytics text analytics includes sentiment libraries that understand niche language. Medical terminology gets processed differently than financial jargon or regional dialects, because context matters enormously for accurate classification.
You can fine-tune how sentiment scores work for your specific business. For example, ‘aggressive’ has a totally different meaning in sports marketing compared to banking or customer service.
Plus, the sentiment analysis tool offers deployment flexibility—cloud, on-premise, or hybrid setup depending on your data security and residency requirements.
Lexalytics best features
- Analyze text across 29 languages using native processing so translation doesn’t strip nuance from customer feedback
- Increase analytical accuracy using pre-built industry-specific configuration packs (e.g., Hotels, Pharma)
- Transform hashtags, slang, and poor grammar into structured data and useful insights
- Build entity patterns unique to your business so mentions of specific product lines, competitors, or industry terms surface automatically in results
- Integrate via APIs (e.g., the Semantria API) or use the full-stack NLP engine to plug the tech into your existing systems and act on insights quickly
Lexalytics limitations
- Implementation and customization costs run higher than out-of-the-box competitors, demanding budget allocation upfront
- On-premise deployment means your IT team handles infrastructure, updates, and troubleshooting; they need resources for ongoing support
- Technical documentation assumes baseline NLP knowledge, creating friction for teams without a data science background
Lexalytics pricing
- Custom pricing
Lexalytics ratings and reviews
- G2: 4.3/5 (30+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Lexalytics?
On G2, a user wrote:
🔍 Did You Know? In the 2024-2025 U.S. Presidential Election, one study found that facial expressions in Instagram posts offered extra insight beyond what text alone conveyed, meaning future sentiment analysis may need to see emotions, not just read them.
📖 Also Read: Free Feedback Form Templates to Collect Insights
7. Brandwatch (Best for detecting specific emotions alongside sentiment scores)
Brandwatch leverages advanced AI, including its proprietary BrightView technology, for superior data segmentation and automated insight spotting. This lets the platform go beyond the basic positive-negative-neutral labels by naming specific emotions: anger, disgust, fear, joy, sadness, surprise.
The platform processes 22 languages and catches emoji meaning and cultural context that most tools completely miss.
What’s more, real-time monitoring across social, blogs, news, and forums keeps you ahead of brand reputation issues, letting you catch emerging sentiment shifts before they snowball into larger problems.
Brandwatch best features
- Override algorithmic classifications with custom rules when the system misreads your industry terminology or slang
- Segment sentiment by product feature or brand attribute to see which elements drive satisfaction independently from overall brand perception
- Benchmark content performance (yours and competitors’) and use AI summaries to surface what themes are driving engagement or conversation
- Build interactive dashboards and exports so you can share insights with stakeholders, present visually, and merge data with other tools you already use
Brandwatch limitations
- Query setup requires careful construction to avoid capturing unrelated conversations and polluting your data with noise
- Sentiment accuracy ranges 60-75% for unsupported or heavily sarcastic language, requiring manual review of edge cases
Brandwatch pricing
- Custom pricing
Brandwatch ratings and reviews
- G2: 4.4/5 (700+ reviews)
- Capterra: 4.2/5 (235+ reviews)
What are real-life users saying about Brandwatch?
One Reddit user writes:
💡 Pro Tip: Twitter is harsher than email. A tweet that sounds normal can actually be angry. Treat Twitter scores as more negative than other channels.
8. Brand24 (Best for sharing real-time alerts that catch sudden sentiment shifts)
Brand24 scans 25 million online sources in real time and uses AI to flag when sentiment suddenly shifts or when mention volume spikes unexpectedly.
Impact Score, a metric designed to measure the influence of a particular mention, helps users prioritize which conversations require immediate attention or response.
You get visibility into who’s driving conversations, their reach and influence level, and exactly where mentions originated across channels. This visibility matters because viral moments don’t wait; discovering problems in a daily digest instead of during the moment means missing the window to respond effectively.
The sentiment analysis tool also consolidates reach metrics to show the actual scale of conversations across social, news, forums, and other channels.
Brand24 best features
- Set alert thresholds so you only get notified when sentiment drops below your specific tolerance or mention volume deviates meaningfully from baseline
- Identify influencers actively driving conversations so you prioritize engagement with high-reach accounts over casual mentions
- View combined reach and impression potential from all brand mentions across platforms simultaneously in a single metric
- Filter your entire dataset by platform, location, sentiment, and keywords to drill into the conversations that actually impact your business
Brand24 limitations
- Some users report missing mentions from niche forums or industry-specific communities despite broad overall coverage
- Pricing reflects the breadth of monitoring, putting it outside the reach of organizations with lower budgets
Brand24 pricing
- Free trial
- Individual: $199/month
- Team: $299/month
- Pro: $399/month
- Business: $599/month
- Enterprise: From $999/month (billed annually)
Brand24 ratings and reviews
- G2: 4.6/5 (300+ reviews)
- Capterra: 4.7/5 (245+ reviews)
What are real-life users saying about Brand24?
Per a G2 review:
💡 Pro Tip: Compare how different segments talk: free vs. paid users, new vs. loyal customers, high-LTV vs low-LTV groups. The gap between segments tells you where expectations diverge.
9. Sprout Social (Best for managing social media response alongside sentiment analysis)
Sprout Social brings sentiment analysis into your social media management dashboard, eliminating the need to jump between tools constantly.
The Deep Neural Network automatically categorizes incoming messages as positive, negative, neutral, or unclassified. Build listening queries tracking specific campaigns or particular stages of the customer journey, then filter by sentiment to surface high-priority conversations first.
Rather than forcing you to check multiple dashboards, everything is available in one place: your scheduled posts, engagement activity, and sentiment-driven listening queries, all together.
Sprout Social best features
- Sort incoming messages by sentiment polarity to prioritize urgent conversations before handling routine inquiries chronologically
- Find and vet brand-safe creators and influencers by topic using AI-powered marketing tools
- Process messy customer language, including slang, emoji, typos, and internet shorthand, to catch real sentiment that formal text misses
- Correct individual message classifications manually to train the platform on your industry terminology for continuous accuracy improvement
Sprout Social limitations
- Sentiment analysis features require the Advanced Plan, limiting availability for budget-conscious teams on lower tiers
- Sarcasm and industry-specific language still trip up the system without manual refinement and ongoing correction
- The platform optimizes for social management first and sentiment analysis second, meaning listening features share real estate with scheduling and publishing tools
- Connecting external tools requires additional setup work beyond the platform itself
Sprout Social pricing
- Free trial
- Social media marketing Standard: $199/month per user
- Social media marketing Professional: $299/month per user
- Social media marketing Advanced: $399/month per user
- Social media marketing Enterprise: Custom pricing
- Influencer marketing: Custom pricing
Sprout Social ratings and reviews
- G2: 4.4/5 (5,700+ reviews)
- Capterra: 4.4/5 (600+ reviews)
What are real-life users saying about Sprout Social?
On Capterra, a user wrote:
📖 Also Read: Best Sprout Social Alternatives (Reviews & Pricing)
10. Hootsuite (Best for unified sentiment monitoring across social media)
Hootsuite embeds sentiment analysis directly into its listening dashboard. Every Hootsuite plan includes mention tracking, trending topic identification, and sentiment classification without forcing you to upgrade to unlock listening capabilities.
You monitor what people actually say about your brand across the open internet in real time, then filter those conversations by sentiment to understand perception shifts as they happen.
The market research tool lets you search millions of conversations simultaneously to catch brand mentions you’d otherwise miss. Competitor sentiment tracking sits right alongside your own metrics, so you benchmark perception relative to market players.
The listening layer integrates smoothly with your publishing, scheduling, and engagement tools, meaning you don’t context-switch between different platforms.
Hootsuite best features
- Filter all monitored mentions by sentiment polarity simultaneously, so you focus on responding to negative conversations first
- Identify trending topics by category and location directly in the listening interface to inform content creation around sentiment-positive topics
- Combine trending hashtags and topics with their associated sentiment metrics, so you pitch campaigns knowing the emotional context
- Collaborate efficiently by assigning responses and tasks to different team members within the platform
Hootsuite limitations
- Listening features are broad but not deep; you get basic sentiment tracking rather than emotion detection or aspect-based analysis
- Migrating from standalone listening tools requires data setup and workflow changes that take time to complete
Hootsuite pricing
- Free trial
- Standard: $149/month per user
- Advanced: $399/month per user
- Enterprise: Custom pricing
Hootsuite ratings and reviews
- G2: 4.3/5 (6,610+ reviews)
- Capterra: 4.4/5 (3,780+ reviews)
What are real-life users saying about Hootsuite?
A G2 review states:
📖 Also Read: Best Hootsuite Alternatives to Check Out
11. Qualtrics XM Discover (Best for analyzing emotion across every customer interaction channel)
Qualtrics weaves conversational analytics into its larger feedback platform. The combined system analyzes emotion, intent, and customer effort from interactions happening across social, support calls, chat transcripts, and product feedback surveys simultaneously.
It includes 150+ pre-built models for specific industries, meaning healthcare sentiment gets interpreted completely differently than hospitality or financial services based on industry context.
Moreover, automated workflows can trigger based on sentiment thresholds, so a negative interaction automatically escalates to supervisors or gets routed to specialized resolution teams without manual intervention.
Qualtrics XM Discover best features
- Ingest support call recordings and chat transcripts directly so the platform extracts sentiment without requiring manual transcription first
- Understand customer effort and intent alongside sentiment to diagnose why interactions failed or succeeded beyond just positive or negative ratings
- Route interactions automatically based on sentiment thresholds, so negative conversations escalate to supervisors without human triage
Qualtrics XM Discover limitations
- Platform complexity and breadth of features create a steep learning curve for teams
- Customization often requires professional services intervention rather than self-service configuration
Qualtrics XM Discover pricing
- Custom pricing
Qualtrics XM Discover ratings and reviews
- G2: 4.3/5 (735+ reviews)
- Capterra: 4.7/5 (250+ reviews)
What are real-life users saying about Qualtrics XM Discover?
A Capterra reviewer adds:
🔍 Did You Know? In a study of open-source software projects, researchers used sentiment analysis of developer comments to predict whether a bug would get fixed (and how fast). Turns out, more negative sentiment in the discussion often meant the bug was more likely to be resolved quickly.
12. Chattermill (Best for turning feedback data into precise, actionable patterns)
Chattermill combines feedback from surveys, reviews, support tickets, and social mentions into an analysis engine.
Its Lyra AI breaks feedback into specific themes automatically so you see exactly which product features or service elements drive satisfaction versus complaints. Rather than getting a sentiment score and being left to figure out what it means, the platform emphasizes understanding the reason behind sentiment.
Also, real-time alerts notify you when new issues emerge or sentiment trends shift. This keeps you ahead of emerging problems instead of discovering them in retrospective reports.
Chattermill best features
- Connect all your social media accounts to analyze comments, mentions, and hashtags in one place
- Query your feedback data in plain English rather than building reports manually, so you ask ‘why are customers unhappy with onboarding’ and get answers
- Configure alerts that surface when new issue themes emerge, or sentiment trends shift to respond to problems before they compound
- Identify mixed sentiment within a single piece of feedback for a more accurate understanding of complex customer opinions
Chattermill limitations
- Data integration setup demands careful attention to consolidate feedback streams from multiple source systems accurately
- The platform emphasizes qualitative CX insights over high-volume social media mention tracking and monitoring
Chattermill pricing
- Custom pricing
Chattermill ratings and reviews
- G2: 4.5/5 (210+ reviews)
- Capterra: 4.5/5 (25+ reviews)
What are real-life users saying about Chattermill?
According to a G2 review:
13. Meltwater (Best for PR teams tracking how media and public perception shifts)
Meltwater processes over 1 billion documents daily using transformer-based sentiment models, the same neural network architecture powering modern AI breakthroughs. It tracks sentiment across online news, social media, blogs, podcasts, and even broadcast transcripts, so PR teams get perception visibility across earned media channels.
Sentence-level analysis catches nuanced shifts and contradictions that document-level approaches completely miss. A single news article might criticize one aspect of your company while praising another, and sentence-level analysis surfaces both signals instead of averaging them into a single sentiment score.
Its strength is in its holistic media coverage, allowing users to understand how earned, owned, and social media campaigns impact overall brand reputation and performance.
Meltwater best features
- Benchmark your sentiment and share of voice against competitors with historical trends to visualize the relative trajectory over time
- Access unlimited search queries and a comprehensive 15-month rolling archive for extensive trend and competitive research
- Export all sentiment data via API to Tableau, Power BI, or Looker Studio so you own your dashboards and don’t get locked into Meltwater’s interface
- Set up real-time alerts and spike-detection to get notified the moment a conversation or trend surges in importance so you can act quickly
Meltwater limitations
- Sentiment accuracy varies by language and industry vertical, sometimes requiring manual spot-checking and refinement
- Processing at a massive scale generates overwhelming amounts of data—you need a strong filtering and segmentation strategy to focus on signal over noise
Meltwater pricing
- Custom pricing
Meltwater ratings and reviews
- G2: 4/5 (2,395+ reviews)
- Capterra: 4/5 (95+ reviews)
What are real-life users saying about Meltwater?
As per a G2 review about the sentiment analysis software:
14. Medallia (Best for capturing sentiment across every customer touchpoint and interaction)
Medallia specializes in feedback capture and analysis across surveys, contact centers, social channels, and digital interactions rather than siloing these data sources separately.
Its NLP surfaces themes and sentiment patterns automatically from open-ended customer comments without forcing you to manually tag every single response. Further, video feedback adds a dimension most platforms skip completely.
Closed-loop workflows turn insights into actual action rather than letting feedback sit in databases. When sentiment scores flag a problem, you can configure the system to automatically notify teams, escalate to supervisors, or trigger follow-up actions without human intervention.
Medallia best features
- Set up workflows so negative sentiment automatically escalates to supervisors or triggers follow-up actions without manual review
- Build real-time dashboards tracking sentiment across all customer touchpoints simultaneously to monitor progress against targets
- Extract recurring themes from open-text feedback automatically so you can identify emerging trends and patterns without manually reading hundreds of responses
Medallia limitations
- Platform feature complexity means onboarding and training take time, even for dedicated CX and customer success teams
- Enterprise positioning puts pricing beyond reach for smaller organizations or departments with limited budgets
Medallia pricing
- Custom pricing
Medallia ratings and reviews
- G2: 4.5/5 (165+ reviews)
- Capterra: 4.5/5 (30+ reviews)
What are real-life users saying about Medallia?
Here’s what a G2 review had to say:
Summarize this article for me pleaseAll Signals Point to ClickUp
Choosing the right sentiment analysis tools comes down to clarity. You now know what each platform does well, where it fits, and how it handles real customer feedback. This gives you a practical way to match your needs with the features that genuinely help you track tone, surface patterns, and make faster decisions.
ClickUp brings those pieces together in one workflow.
Forms collect feedback, ClickUp Brain reads the sentiment, Dashboards show the trends, and AI Agents keep an eye on shifts so you catch important changes early. Everything stays connected, so your team works with reliable information without bouncing between tools. That’s the advantage of a converged AI workspace like ClickUp.
If you want a cleaner, more focused way to act on customer sentiment, you can get started right away. Sign up for ClickUp today! ✅
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