Sentiment analysis of movie reviews: finding most important movie aspects using driving factors

被引：31
|
作者：
Parkhe, Viraj [1 ]
Biswas, Bhaskar [1 ]
机构：
[1] IIT BHU, Dept Comp Sci & Engn, Varanasi, Uttar Pradesh, India
来源：
SOFT COMPUTING | 2016年 / 20卷 / 09期
关键词：
Sentiment analysis; Aspect-based sentiment analysis; Naive Bayes classifier; Aspect importance;
D O I：
10.1007/s00500-015-1779-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The opinion conveyed by the user towards the movie can be understood by sentiment analysis of the movie review. In the current work we focus on finding the aspects of a movie review which direct its polarity the most. This is achieved using certain driving factors, which are scores given to the various movie aspects. Generally its found that aspects with high driving factors affect the review polarity the most.
引用
收藏
页码：3373 / 3379
页数：7
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