Sentiment Analysis of Lithuanian Texts Using Traditional and Deep Learning Approaches

We describe the sentiment analysis experiments that were performed on the Lithuanian Internet comment dataset using traditional machine learning (Naïve Bayes Multinomial—NBM and Support Vector Machine—SVM) and deep learning (Long Short-Term Memory—LSTM and Conv...

詳細記述

保存先:
書誌詳細
主要な著者: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2019-01-01
シリーズ:Computers
主題:
sentiment analysis
machine learning
deep learning
neural word embeddings
Internet comments
Lithuanian language
オンライン･アクセス:http://www.mdpi.com/2073-431X/8/1/4
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