Sentiment Classification of Documents in Serbian: The Effects of Morphological Normalization and Word Embeddings
An open issue in the sentiment classification of texts written in Serbian is the effect of different forms of morphological normalization and the usefulness of leveraging large amounts of unlabeled texts. In this paper, we assess the impact of lemmatizers and stemmers for Serbian on classifiers trai...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Telecommunications Society, Academic Mind
2017-11-01
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| Serie: | Telfor Journal |
| Soggetti: | |
| Accesso online: |
http://journal.telfor.rs/Published/Vol9No2/Vol9No2_A6.pdf
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