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.

Date Created 2023-04-02 (about a year ago)
Commits 22 (last one 4 months ago)
Stargazers 39 (0 this week)
Watchers 1 (0 this week)
Forks 15
License unknown
Ranking

RepositoryStats indexes 622,269 repositories, of these SannketNikam/Emotion-Detection-in-Text is ranked #544,927 (12th percentile) for total stargazers, and #560,891 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,274/18,620.

SannketNikam/Emotion-Detection-in-Text is also tagged with popular topics, for these it's ranked: machine-learning (#7,596/8312),  nlp (#2,264/2496),  data-science (#2,037/2201),  streamlit (#333/430),  sentiment-analysis (#223/257)

Other Information

SannketNikam/Emotion-Detection-in-Text has Github issues enabled, there are 2 open issues and 1 closed issue.

Star History

Github stargazers over time

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

22 commits on the default branch (main) since jan '22

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Yearly Commits

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Issue History

Total Issues
Open Issues
Closed Issues
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Languages

The primary language is Jupyter Notebook but there's also others...

Jupyter NotebookJupyter NotebookPythonPython

updated: 2025-02-25 @ 10:05pm, id: 622573448 / R_kgDOJRu3iA