Sentiment Analysis of Lithuanian Texts Using Traditional and Deep Learning Approaches

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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Bibliographic Details
Main Authors: Jurgita Kapočiūtė-Dzikienė, Robertas Damaševičius, Marcin Woźniak
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Computers
Subjects:
sentiment analysis
machine learning
deep learning
neural word embeddings
Internet comments
Lithuanian language
Online Access:http://www.mdpi.com/2073-431X/8/1/4

Internet

http://www.mdpi.com/2073-431X/8/1/4

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