juliusberner/emotion_transformer
Contextual Emotion Detection in Text (DoubleDistilBert Model)
This project helps customer service teams, marketers, and social listening analysts understand the underlying emotions in text conversations. It takes a series of text messages, like a customer support chat or social media dialogue, and outputs whether the speaker's last message is Happy, Sad, Angry, or Other. It's designed for anyone needing to quickly gauge sentiment in conversational data.
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Use this if you need to automatically identify the emotional tone of individual messages within a longer text conversation, like support chats or forum posts.
Not ideal if you're looking for a simple keyword-based sentiment analyzer or a tool to analyze emotions in single, standalone sentences without any preceding context.
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11
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6
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 12, 2023
Commits (30d)
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