A Study on Sentiment Analysis of Product Reviews

被引：0
|
作者：
Parihar, Anil Singh [1 ]
Bhagyanidhi [1 ]
机构：
[1] Delhi Technol Univ, Dept Informat Technol, Delhi, India
来源：
IEEE INTERNATIONAL CONFERENCE ON SOFT-COMPUTING AND NETWORK SECURITY (ICSNS 2018) | 2018年
关键词：
Sentiment analysis; polarity; NLP; Opinion mining; Product reviews;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Sentiment analysis is an intellectual way of identifying users' sentiments towards certain entities. Natural Language Processing (NLP) has the process of analyzing sentiments as one of its prominent fields. NLP is a branch of computer science and artificial intelligence that deals with human computer language interaction. The growth in e-commerce has led to increasing customer reviews about various products which are available on the internet. These product reviews offer a massive amount of valuable information which can be used for various decision-making purposes. Several methods have been developed in recent years in order to accomplish this task. In this paper, we discuss various levels of sentiment analysis followed by comparison among different approaches to sentiment analysis.
引用
收藏
页码：5 / 9
页数：5
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