Sentiment Analysis of E-Commerce and Social Networking Sites

被引:0
|
作者
Mittal, Shubhi [1 ]
Goel, Ashna [1 ]
Jain, Rachna [1 ]
机构
[1] Dept BVCOE, CSE, New Delhi, India
关键词
Sentiment Analysis; Opinion Mining; E-Commerce; Facebook; Lexicon-based; emoticons; Social Network;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The World Wide Web is an extensive large virtual space where people share and express views and opinions which helps in communication with the known and unknown residing anywhere on the globe at any point of time. Consumers are influenced by the Social Media whether intentionally or unintentionally, as e-marketing are becoming a huge marketing area. Social Networking Sites enable sharing of information and views. Sentiment analysis has uplifted the importance of both of these mentioned areas that are growing parallel with the growing globalisation as abundance of opinion data exists on multiple sites such as Facebook, Twitter, Amazon etc. Emoticons are the new dramatic and pictorial format of conveying emotions in a written format. This paper aims analyse the effect and notion of the sentiments shared online that the readers have, for which we also conducted a survey on over 100s of responses obtained by the consumers/users. We also present a list of sentiments of emoticons, interjections and comments which have been extracted from posts and status updates.
引用
收藏
页码:2300 / 2305
页数:6
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