Sentiment Analysis Tool
Measure sentiment, identify entities, and classify the tone of any text in real-time. Built for content reviewers, brand monitors, and review-response teams.
Real-time sentiment, entity extraction and tone classification
Paste any text, a customer review, a social mention, a draft article, a competitor's landing page, and get back: overall sentiment score (-1 to +1), per-sentence sentiment, named entities (brands, people, locations) with their individual sentiment, and a tone classification (formal, casual, persuasive, technical, etc.).
Free, browser-based, supports 14 languages, no signup. Built for the moment when you need quick insight, not a quarterly report.
Five real ways consultants use sentiment analysis
1. Competitor review mining
Pull 100 reviews of a competitor's product. Run sentiment + entity extraction. The negative-sentiment entities tell you exactly which features customers hate. That's your positioning.
2. Content tone calibration
You're writing for a B2B fintech audience but your draft sounds like a casual blog. Run it through and check the tone classification. Adjust until you hit "professional" or "technical".
3. Headline A/B test pre-screening
You have 10 headline variations. Run them through. Pick the 3 with the most distinct sentiment profiles to A/B test, variants with similar sentiment usually perform similarly.
4. Brand mention monitoring
Pull mentions of your brand from Twitter/Reddit/news. Bulk-analyse sentiment. Sudden negative spike means a PR issue is brewing, catch it 24 hours before it goes viral.
5. AI engine answer auditing
For GEO: ask ChatGPT, Gemini, Perplexity about your brand category. Run their answers through sentiment analysis. Negative or neutral mentions of your brand → you have a citation gap to fix.