Comparative Study of Feature Extraction Techniques used in Sentiment Analysis

被引：0
|
作者：
Pasarate, Sneha [1 ]
Shedge, Rajashree [1 ]
机构：
[1] Ramrao Adik Inst Technol, Dept Comp Engn, Nerul, Navi Mumbai, India
来源：
2016 1ST INTERNATIONAL CONFERENCE ON INNOVATION AND CHALLENGES IN CYBER SECURITY (ICICCS 2016) | 2016年
关键词：
sentiment analysis; feature extraction; classifiers;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
There is a need to analyze sentiments of people with the advancement of social media like social networks, blogs, and presentations. Sentiment analysis is a very challenging task as there is a huge amount of data present online. It is the analysis of sentiments on a particular entity in terms of positive, negative or neutral polarity. The challenge is the identification of the meaning of the word as it can be different in different situations. Feature extraction and identification is necessary to identify sentiment polarity. This paper shows comparative study of feature extraction techniques used in sentiment analysis.
引用
收藏
页码：182 / 186
页数：5
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