EFFICIENCY ESTIMATION OF METHODS FOR SENTIMENT ANALYSIS OF SOCIAL NETWORK MESSAGES

EFFICIENCY ESTIMATION OF METHODS FOR SENTIMENT ANALYSIS OF SOCIAL NETWORK MESSAGES

The results of effectiveness evaluating of machine learning methods for sentiment analysis of social network messages are presented in this paper. The importance of the sentiment analysis problem as one of the important tasks of natural language processing in general and textual information processi...

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Bibliographic Details
Main Authors: Natalia Volodymyrivna Borysova, Karina Volodymyrivna Melnyk
Format: Article
Language:English
Published: National Technical University Kharkiv Polytechnic Institute 2019-11-01
Series:Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
Subjects:
sentiment analysis
social networks messages analysis
machine learning
text classification
naïve bayesian classification
recurrent neural network
efficiency estimation
Online Access:http://samit.khpi.edu.ua/article/view/183454

Internet

http://samit.khpi.edu.ua/article/view/183454

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