NishantkSingh0/Twitter-Sentiment-Analysis
A ML/DL based Twitter sentiment analysis model based on Transformer based pretrained Encoding on sentence
This tool helps social media managers or marketers understand public opinion on Twitter. You feed it raw tweet text, and it classifies each tweet as either 'Happy' or 'Angry'. This allows you to quickly gauge sentiment for brand mentions, campaigns, or trending topics without manually reading through thousands of posts.
No commits in the last 6 months.
Use this if you need to quickly classify the sentiment of a large volume of tweets into positive or negative categories.
Not ideal if you need to detect more nuanced emotions beyond just 'Happy' or 'Angry' or if your data includes very long posts (over 40 tokens).
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Last pushed
Jun 29, 2025
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