Sentiment Analysis of Movie Reviews (CROSBI ID 667698)
Prilog sa skupa u zborniku | stručni rad | međunarodna recenzija
Podaci o odgovornosti
Vrgoč, Katarina Anđela ; Pauković, Matija ; Russo, Mladen ; Šarić, Matko
engleski
Sentiment Analysis of Movie Reviews
This paper addresses the problem of sentiment analysis and text sentiment prediction using a weight-oriented method applied on the dataset consisted of movie reviews provided within Kaggle Bag of Words Meets Bags of Popcorns competition. The method utilizes traditional Bag of Words model for vocabulary synthesis and further applies weight-oriented classifier for sentiment prediction. Finally, as different sets of N-grams i.e. unigrams, bigrams and trigrams were used, sentiment prediction accuracy is presented, compared and discussed for optimal approach selection
sentiment analysis, opinion mining, n-grams, weight method
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Podaci o prilogu
1-6.
2018.
objavljeno
Podaci o matičnoj publikaciji
26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018) : proceedings
Podaci o skupu
International Conference on Software, Telecommunications and Computer Networks (26 ; 2018)
radionica
13.09.2018-15.09.2018
Supetar, Hrvatska