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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Autors principals: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2019-01-01
Col·lecció:Computers
Matèries:
sentiment analysis
machine learning
deep learning
neural word embeddings
Internet comments
Lithuanian language
Accés en línia:http://www.mdpi.com/2073-431X/8/1/4
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