A Survey of Sentiment Analysis from Social Media Data

Title

A Survey of Sentiment Analysis from Social Media Data

Creator

Chakraborty K.; Bhattacharyya S.; Bag R.

Description

In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future. 2014 IEEE.

Source

IEEE Transactions on Computational Social Systems, Vol-7, No. 2, pp. 450-464.

Date

2020-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Clustering; Community; Sentiment analysis; Social media; Social networks

Coverage

Chakraborty K., Computer Science and Engineering Department, Supreme Knowledge Foundation Group of Institutions, Chandannagar, 712139, India; Bhattacharyya S., Department of Computer Science and Engineering, Christ University, Bengaluru, 560029, India; Bag R., Computer Science and Engineering Department, Supreme Knowledge Foundation Group of Institutions, Chandannagar, 712139, India

Rights

Restricted Access

Relation

ISSN: 2329924X

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1109/TCSS.2019.2956957

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083275468&doi=10.1109%2fTCSS.2019.2956957&partnerID=40&md5=529ac0b92458e2b3d84c6478d29cdc0f