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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Bibliografische gegevens
Hoofdauteurs: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2019-01-01
Reeks:Computers
Onderwerpen:
sentiment analysis
machine learning
deep learning
neural word embeddings
Internet comments
Lithuanian language
Online toegang:http://www.mdpi.com/2073-431X/8/1/4
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