Implemented a urdu text sentiment analysis model that takes an urdu sentence as an input and predicts the sentiment associated with the sentence (whether it has a positive connotation or negative). Done via Tensorflow, using a combination of a CNN and GRU RNN. IEEE format report included.
active 2024-06-10 → 2024-06-10 (UTC)
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Line chart, 1 days from 2024-06-10 to 2024-06-10. 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 |
|---|---|---|---|---|
| asafvi | 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.