Twitter Sentiment Analyzer
Paste any tweet or social media text and instantly see the sentiment breakdown. Positive, Negative, or Neutral. Free, client-side, no signup required.
Quick Facts
- Classifies text as Positive, Negative, or Neutral from English word lists
- Free for one-time analysis
- Word-count percentages for the text you paste
- Useful for crisis triage and campaign measurement
- Instant word-list analysis in your browser
How does it work?
This tool uses a keyword-based approach, matching words against curated positive and negative word lists to calculate sentiment percentages. It's ideal for a quick, instant check. For production-grade sentiment analysis across thousands of tweets, Twigest uses AI-powered NLP models.
Frequently Asked Questions
How accurate is the sentiment classifier?+
This free tool counts words from English positive and negative word lists. It is a rough indicator and does not understand sarcasm or context. The full Twigest digest uses AI analysis separately.
Does it work for non-English tweets?+
The free tool uses English word lists. Results for other languages are not reliable.
Can I batch-analyze tweets?+
Use the free tool for a single analysis. Tracked posts are classified by sentiment as part of your AI digest; the tool does not offer a 500-tweet batch API.
How many sentiment labels does the free tool produce?+
The free tool returns one of three labels: Positive, Negative, or Neutral, based on matched word counts. It does not produce a confidence score.
How is this different from paid listening platforms?+
Most paid listening platforms cover multiple social channels with a broad feature set. This tool is free, focused on Twitter/X specifically, and provides a quick positive, negative and neutral word breakdown.
Analyze Sentiment at Scale
Twigest summarizes collected posts about your chosen accounts and keywords in a daily AI digest. Review sentiment labels where available and open the source posts for context.