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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...

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Auteurs principaux: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2019-01-01
Collection:Computers
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Accès en ligne:http://www.mdpi.com/2073-431X/8/1/4
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