Study of Machine Learning Techniques for Sentiment Analysis

被引:0
作者
Nair, Rajeev Raveendran [1 ]
Mathew, Joel [1 ]
Muraleedharan, Vaishakh [1 ]
Kanmani, S. Deepa [1 ]
机构
[1] Karunya Inst Technol & Sci, Dept CSE, Coimbatore, Tamil Nadu, India
来源
PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2019) | 2019年
关键词
Sentiment Analysis; Opinion mining;
D O I
10.1109/iccmc.2019.8819763
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Sentiment Analysis, a field of Machine learning is used to describe what a user feels about a particular product or issues. With this advantage, we can acquire information that might prove helpful in the decision-making processes. It is based on Opinion mining concept that extracts opinion and analyses them. In this scenario, sentiment analysis plays a role on identifying the emotion behind these opinions. Source of these opinions can be from blogs, forums, reviews, twitter feeds, social media comments etc. This paper intends mainly to explore the related works in this field and it revolves around algorithms used and then compares them to find an appropriate solution for a particular problem.
引用
收藏
页码:978 / 984
页数:7
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