dharmagnavyas/Emotion-Detection-in-Text-Using-Natural-Language-Processing-and-Machine-Learning
View on GitHub ↗Related repositories →The goal of the Emotion Analysis from Text project is to teach the computer to understand and recognize emotions in written text. We want the computer to read sentences and figure out if the writer is happy, sad, angry, or feeling other emotions. This can be useful for things like understanding customer reviews or analyzing social media posts.
active 2023-11-25 → 2023-11-25 (UTC)
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Line chart, 1 days from 2023-11-25 to 2023-11-25. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| dharmagnavyas | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.