SannketNikam / Emotion-Detection-in-Text
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the most fitting emotion assigned to it. This app has more than 400 visitors!
RepositoryStats indexes 564,918 repositories, of these SannketNikam/Emotion-Detection-in-Text is ranked #552,969 (2nd percentile) for total stargazers, and #521,156 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,710/16,265.
SannketNikam/Emotion-Detection-in-Text has Github issues enabled, there are 2 open issues and 0 closed issues.
Homepage URL: https://emotion-detection-in-text.streamlit.app
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updated: 2024-09-24 @ 08:00pm, id: 622573448 / R_kgDOJRu3iA