Repository · 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.
| Owner | fhamborg |
|---|---|
| Stars | 157 |
| Forks | 20 |
| Main language | Python |
| Created | 8 April 2021 |
| Last updated at source | 18 July 2025 |
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