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GitHub / 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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fhamborg%2FNewsMTSC
Stars: 132
Forks: 20
Open Issues: 4
License: other
Language: Python
Repo Size: 4.59 MB
Dependencies:
0
Created: about 3 years ago
Updated: 29 days ago
Last pushed: 5 months ago
Last synced: 25 days ago
Commit Stats
Commits: 126
Authors: 7
Mean commits per author: 18.0
Development Distribution Score: 0.294
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/fhamborg/NewsMTSC
Topics: cuda, dataset, deep-learning, news-articles, pytorch, sentiment-analysis, sentiment-classification, text-classification, tsc
Funding links: https://github.com/sponsors/fhamborg
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