nainiayoub/emotion-classifier-web-app
Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.
This tool helps you quickly understand the emotional tone of written or spoken text. You input a piece of text or an audio recording, and it tells you if the underlying emotion is sadness, joy, surprise, anger, disgust, or fear. It's useful for anyone needing to analyze sentiment in customer feedback, social media posts, or communication logs.
No commits in the last 6 months.
Use this if you need a simple way to classify the emotional content of text or speech into one of six basic emotions without deep technical knowledge.
Not ideal if you need to detect nuanced emotions, complex sentiment analysis beyond basic categories, or process very large volumes of data for deep analysis.
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15
Forks
4
Language
Python
License
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Category
Last pushed
Oct 07, 2025
Commits (30d)
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