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- W4382703962 abstract "This article presents TwitterEmo, a new dataset for emotion and sentiment analysis in Polish. TwitterEmo provides a non-domain-specific and colloquial language dataset, which includes Plutchik’s eight basic emotions and sentiment annotations for 36,280 tweets collected over a one-year period. Additionally, a sarcasm category is included, making this dataset unique in Polish computational linguistics. Each entry was annotated by at least four annotators. We present the results of the evaluation using several language models, including HerBERT and TrelBERT. The TwitterEmo dataset is a valuable resource for developing and training machine learning models, broadening possible applications of emotion recognition methods in Polish, and contributing to social studies and research on media bias." @default.
- W4382703962 created "2023-07-01" @default.
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- W4382703962 date "2023-01-01" @default.
- W4382703962 modified "2023-09-25" @default.
- W4382703962 title "TwitterEmo: Annotating Emotions and Sentiment in Polish Twitter" @default.
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- W4382703962 doi "https://doi.org/10.1007/978-3-031-36021-3_20" @default.
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