A Survey on Twitter Sentiment Analysis

Authors

  • Rahman EU Dept. of CSE, Girijananda Chowdhury Institute of Management and Technology, Guwahati, India
  • Sarma R Dept. of CSE, Girijananda Chowdhury Institute of Management and Technology, Guwahati, India
  • Sinha R Dept. of CSE, Girijananda Chowdhury Institute of Management and Technology, Guwahati, India
  • Pradhan A Dept. of CSE, Girijananda Chowdhury Institute of Management and Technology, Guwahati, India
  • P Sinha Dept. of CSE, Girijananda Chowdhury Institute of Management and Technology, Guwahati, India

DOI:

https://doi.org/10.26438/ijcse/v6i11.644648

Keywords:

Twitter, sentiment analysis, datasets, pre-processing, feature extraction, classification

Abstract

Twitter sentiment analysis offers organizations an ability to monitor public feeling towards the products and events related to them in real time. Public and private opinion about a wide variety of subjects are expressed and spread continually via numerous tweets. It offers organizations a fast and more effective way to analyze customer’s perspectives towards the success in the market place. Sentiment analysis is an approach to be used to computationally measure customer’s perceptions to a vast extent. This is a survey on the design of a sentiment analysis. After extraction of a vast amount of tweets, it classifies perspectives of customers via tweets into positive and negative sentiments. Which is obtained after classifying the data by using classification approaches like for example Bayes Naïve, Linear Regression, etc

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Published

2025-11-18
CITATION
DOI: 10.26438/ijcse/v6i11.644648
Published: 2025-11-18

How to Cite

[1]
E.-U. Rahman, R. Sarma, R. Sinha, A. Pradhan, and P. Sinha, “A Survey on Twitter Sentiment Analysis”, Int. J. Comp. Sci. Eng., vol. 6, no. 11, pp. 644–648, Nov. 2025.

Issue

Vol. 6 No. 11 (2018): IJCSE November Edition

Section

Survey Article

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