Sentiment Analysis Techniques for Social Media Data: A Review

Sharma, D, Sabharwal, M, Goyal, V and Vij, M (2019) Sentiment Analysis Techniques for Social Media Data: A Review. In: First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, Singapore.

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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.

Affiliation: Skyline University College
SUC Author(s): Vij, M ORCID:
All Author(s): Sharma, D, Sabharwal, M, Goyal, V and Vij, M
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Sentiment analysi,s Opinion mining, Decision-making
Subjects: A Business and Management > AP Marketing
Divisions: Skyline University College > School of Business
Depositing User: Mr Mosys Team
Date Deposited: 22 Nov 2021 06:10
Last Modified: 22 Nov 2021 06:23
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