Sentiment Analysis Techniques for Social Media Data: A Review

被引：14

作者：

Sharma, Dipti ^{[1
]}

Sabharwal, Munish ^{[1
]}

Goyal, Vinay ^{[1
]}

Vij, Mohit ^{[2
]}

机构：

[1] Chandigarh Univ, Mohali, Punjab, India

[2] Skyline Univ, Dubai, U Arab Emirates

来源：

FIRST INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE | 2020年 / 1045卷

关键词：

Sentiment analysis; Opinion mining; Decision-making; MODEL;

D O I：

10.1007/978-981-15-0029-9_7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The world is going to digitize day by day. A lot of data generated by the social website users that play an essential role in decision-making. It is impossible to read the whole text, so sentiment analysis make it easy by providing the polarity to the text and classify text into positive and negative classes. Classification task can be performed by using different algorithms results in a different level of accuracy. The purpose of the survey is to provide an overview of various methods that deal with sentiment analysis. The review also presented a comparative analysis of various sentimental analysis techniques with their performance measurement.

引用

页码：75 / 90

页数：16

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