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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 (personal account)
Stars
Stars: 158
Forks
Forks: 19
Language
Python
License
None
Created
2021
Topics
news-articlesdatasettsccudapytorchdeep-learningtext-classificationsentiment-analysissentiment-classification
Tier
Prototype (100 to 249 ★) What this tier means
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