Sentiment Analyzer
Analyze the emotional tone and sentiment of any text. Detect positive, negative, and neutral signals with confidence scores.
0 words
Frequently Asked Questions
How does this sentiment analyzer work?▼
This tool uses lexicon-based sentiment analysis. It matches words against curated positive and negative word dictionaries, accounts for negators (like "not good") and intensifiers (like "very good"), and calculates an overall sentiment score from -100 (very negative) to +100 (very positive).
Is this as accurate as AI-powered sentiment analysis?▼
Lexicon-based analysis is fast and transparent — you can see exactly which words drive the score. For nuanced sentiment detection (sarcasm, context-dependent tone), AI-powered reviewers in TeamBench provide deeper analysis using models like GPT-5 and Claude.
What are the emotion categories based on?▼
The emotion categories (Joy, Trust, Fear, Anger, Sadness, Surprise) are inspired by Plutchik's wheel of emotions — a widely used framework in psychology and NLP research for classifying emotional content.
Is my text stored or sent to a server?▼
No. All analysis happens entirely in your browser. Your text never leaves your device. This tool is 100% client-side with no API calls.
Can I use this for social media monitoring?▼
This tool is designed for analyzing individual pieces of text. For ongoing brand sentiment monitoring across social media, you would need a dedicated social listening tool. However, this is great for checking the tone of individual posts before publishing.
Sentiment is one dimension — score content on every dimension that matters
This tool detects sentiment. TeamBench lets you build reviewers that score content for brand voice, tone, empathy, clarity, and any custom criteria you define — with weighted scoring and instant improvement.
- Score content for tone, empathy, and brand alignment
- Custom criteria beyond just positive/negative
- One-click AI improvement based on scored feedback
- Free to start — no credit card required