SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS

被引：1
|
作者：
Uslu, Abdullah [1 ]
Tekin, Sefa [1 ]
Aytekin, Tevfik [1 ]
机构：
[1] Bahcesehir Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2019年
关键词：
Turkish; Sentiment Analysis; Lexicon Based Method; Machine Learning; Algorithms;
D O I：
10.1109/siu.2019.8806355
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Analysing the sentiments in text files, movie website's user comment is an important research fields both for companies and the academics due to the challenges and opportunities it possesses. In this study, we applied lexicon based method and Machine learning algorithms that are support vector machine, naive bayes, logistic regression and decision tree methods to various sized Turkish datasets. As a result, we observed that the Logistic Regression algorithm gave the best result with an accuracy of %77.35
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页数：4
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