fhamborg / NewsMTSC

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Date Created 2021-04-08 (3 years ago)

Commits 142 (last one 6 months ago)

Stargazers 135 (0 this week)

Watchers 7 (0 this week)

Forks 20

License other

Ranking

RepositoryStats indexes 534,880 repositories, of these fhamborg/NewsMTSC is ranked #221,907 (59th percentile) for total stargazers, and #259,002 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #39,405/103,597.

fhamborg/NewsMTSC is also tagged with popular topics, for these it's ranked: deep-learning (#4,139/7826), pytorch (#2,880/5590), dataset (#468/1057), cuda (#317/585), text-classification (#141/263), sentiment-analysis (#106/236)

Other Information

fhamborg/NewsMTSC has Github issues enabled, there are 2 open issues and 28 closed issues.

There have been 1 release, the latest one was published on 2021-04-26 (3 years ago) with the name grutsc.

All Topics

tsc cuda dataset pytorch deep-learning news-articles sentiment-analysis text-classification sentiment-classification

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

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The only known language in this repository is Python

updated: 2024-06-24 @ 10:45pm, id: 355885500 / R_kgDOFTZhvA