Naslov (eng)

Sentiment Analysis of Twitter for the Serbian Language

Autor

Avdić, Aldina
Crnišanin, Adela
Marovac, Ulfeta

Opis (eng)

Abstract: Although short texts, tweets and other types of comments that can be found on social networks, carry significant information about the person who wrote them and the object to which they refer when they are cumulatively observed. The interest for machine analysis of the feelings that are expressed by some text grows, but algorithms that perfectly determine emotion that text carries are still not found. Problems that occur in the machine analysis of the text are different, starting with the complexity of the language in which the text is written to the complexity of the feelings expressed by it. This paper provides an overview of some of the existing solutions for sentiment analysis and gives an overview of our solution. Sentiment analysis will be shown in the case of tweets written in the Serbian language. Although the method is still in the development phase, the resulting accuracy of 82% is encouraging at this stage of the method development.

Jezik

engleski

Datum

2017

Licenca

© All rights reserved

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