kanchitank/Text-Emotion-Analysis
Automate detection of different emotions from paragraphs and predict overall emotion.
This project helps social media managers, market researchers, and customer service teams automatically understand the emotional tone of text. You input English sentences or paragraphs, and it identifies specific emotions like happy, sad, or angry within the text, then predicts the overall emotion. It's designed for anyone needing to quickly gauge public sentiment or individual emotional responses from text data.
No commits in the last 6 months.
Use this if you need to quickly assess the emotional content of a large volume of English text, such as tweets, customer feedback, or written reviews.
Not ideal if you require highly nuanced or context-specific emotion detection beyond the five main categories (Neutral, Happy, Sad, Love, Anger) provided.
Stars
60
Forks
18
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 19, 2021
Commits (30d)
0
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