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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Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2019-01-01
Serie:Computers
Ämnen:
sentiment analysis
machine learning
deep learning
neural word embeddings
Internet comments
Lithuanian language
Länkar:http://www.mdpi.com/2073-431X/8/1/4
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