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 11 months ago)

Stargazers 140 (0 this week)

Watchers 7 (0 this week)

Forks 21

License other

Ranking

RepositoryStats indexes 584,353 repositories, of these fhamborg/NewsMTSC is ranked #230,308 (61st percentile) for total stargazers, and #269,279 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #41,821/116,326.

fhamborg/NewsMTSC is also tagged with popular topics, for these it's ranked: deep-learning (#4,262/8389), pytorch (#2,974/5948), dataset (#484/1138), cuda (#342/635), text-classification (#140/278), sentiment-analysis (#109/248)

Other Information

fhamborg/NewsMTSC has Github issues enabled, there are 3 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: 2024-11-14 @ 04:34am, id: 355885500 / R_kgDOFTZhvA