CrispenGari/emotionAI
(😞 😨 😄 😮 😍 😠 😐 🤮) This is a simple DL API that classifies human emotions from audios and text.
This tool helps you understand the emotional tone of text or audio recordings. You feed in sentences, paragraphs, or spoken audio, and it tells you which specific emotion (like happiness, anger, or sadness) is being expressed. This is useful for anyone analyzing customer feedback, interview transcripts, or social media posts to gauge sentiment.
No commits in the last 6 months.
Use this if you need to automatically identify emotions from either written content or spoken words in your data.
Not ideal if you need to analyze highly nuanced emotions or require extremely high accuracy for safety-critical applications.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 05, 2022
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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CrispenGari/emotionAI"
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