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...

詳細記述

書誌詳細

出版年:	Telfor Journal
主要な著者:	V. Batanović, B. Nikolić
フォーマット:	論文
言語:	英語
出版事項:	Telecommunications Society, Academic Mind 2017-11-01
主題:	comparative evaluation lemmatization morphology sentiment analysis stemming word embeddings
オンライン･アクセス:	http://journal.telfor.rs/Published/Vol9No2/Vol9No2_A6.pdf