Beyond star ratings, sentiment analysis reveals the emotional tone of customer feedback. Know if users are frustrated, delighted, or somewhere in between.
Starting at $49/month
Overall Sentiment
Last 30 days
The Challenge
A 4-star review could be enthusiastic praise or frustrated criticism. Understanding true sentiment requires reading between the lines.
Reddit posts and support tickets don't have star ratings at all. You need another way to measure sentiment.
A 3-star review saying "good but..." is different from "decent for the price." Context changes meaning.
Without tracking sentiment over time, you miss gradual shifts that signal bigger problems.
How It Works
AI reads feedback deeply to understand the emotional tone, not just surface keywords.
Import reviews, Reddit posts, support tickets, and more. All the places where sentiment matters.
Our AI reads each piece of feedback and identifies the emotional tone - from very negative to very positive.
See how sentiment changes over time. Catch negative shifts early before they become crises.
Features
Feedback is classified into very positive, positive, neutral, negative, and very negative.
Each piece of feedback gets a numerical score from -1 to +1 for precise analysis.
See sentiment by topic - maybe users love your features but hate your pricing.
Track how sentiment changes week over week. Catch downward trends early.
Compare sentiment across platforms - are Reddit users happier than Trustpilot reviewers?
Get notified when sentiment drops significantly so you can investigate quickly.
Use Cases
Understand overall customer satisfaction and what drives positive or negative sentiment.
Track sentiment trends to catch dissatisfaction before customers churn.
Know how customers feel about your brand for positioning and messaging.
Get a pulse on customer satisfaction without reading every review.
Integrations
Noisely aggregates feedback from review platforms, community forums, app stores, and support tools into one unified dashboard.
Unified Feed
All sources in one view
New mention on r/SaaS
2m ago
New 4-star review
15m ago
Feature request ticket
1h ago
FAQ
Noisely AI reads each piece of feedback and analyzes the language, tone, and context to determine the emotional sentiment. It goes beyond keyword matching to understand nuance, sarcasm, and mixed feelings.
Noisely classifies feedback into five levels: very positive, positive, neutral, negative, and very negative. Each piece also gets a numerical score from -1 to +1 for more granular analysis.
Yes. Noisely extracts key topics from feedback, so you can see that users have positive sentiment about your features but negative sentiment about pricing or support response times.
Noisely shows sentiment trends in your dashboard. You can see how overall sentiment changes week over week or month over month across all your feedback sources.
Our AI is trained to understand context and detect many cases of sarcasm and ironic positive language. However, very subtle sarcasm can be challenging for any AI to detect reliably.
Know how customers really feel. Track sentiment across all your feedback sources.
Get StartedStarting at $49/month