monologg/GoEmotions-pytorch
Pytorch Implementation of GoEmotions 😍😢😱
This tool helps you understand the emotional tone of written text, like social media comments or customer feedback. You feed it raw text, and it identifies specific emotions expressed, such as 'joy,' 'anger,' 'sadness,' or 'love,' outputting a list of emotions and their intensity. It's designed for anyone who needs to quickly gauge sentiment and emotional nuances in large volumes of text.
166 stars. No commits in the last 6 months.
Use this if you need to automatically categorize text based on a detailed list of 28 distinct emotions or broader categories like positive, negative, or neutral.
Not ideal if you only need a simple positive/negative/neutral sentiment score, or if your text data includes highly domain-specific jargon that might not be understood by a general language model.
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166
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49
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 12, 2023
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