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 about a year ago)

Stargazers 148 (0 this week)

Watchers 6 (0 this week)

Forks 21

License other

Ranking

RepositoryStats indexes 630,443 repositories, of these fhamborg/NewsMTSC is ranked #233,050 (63rd percentile) for total stargazers, and #289,184 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,149/128,655.

fhamborg/NewsMTSC is also tagged with popular topics, for these it's ranked: deep-learning (#4,274/8798), pytorch (#2,999/6209), dataset (#494/1222), cuda (#357/686), text-classification (#139/286), sentiment-analysis (#106/262)

Other Information

fhamborg/NewsMTSC has 1 open pull request on Github, 8 pull requests have been merged over the lifetime of the repository.

Github issues are 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: 2025-03-23 @ 06:02pm, id: 355885500 / R_kgDOFTZhvA