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A Review on Twitter Sentiment Analysis Approaches - 2021

Research Area:  Machine Learning


Sentiment analysis addresses the issue of interpreting the data presented in several contexts and realms in terms of feelings, interests, and opinions. It can be useful for industries that need an awareness of the views of people on any specific subject or case. Twitter is one of the most widely used micro blog sites where users can express their thoughts, views, and opinions, making it an excellent resource for analyzing sentiment. Several works from different years are studied and briefly described in this review article. The reviewed works are categorized according to their implemented classification algorithms. A contrastive analysis on various strategies and methods of sentiment analysis using Twitter data is carried out in this review paper. Additionally, performance analysis, research gaps, and future scope of Twitter sentiment analysis are addressed.

Author(s) Name:  Jasiya Fairiz Raisa; Maliha Ulfat; Abdullah Al Mueed; S M Salim Reza

Journal name:  

Conferrence name:  2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)

Publisher name:  IEEE

DOI:  10.1109/ICICT4SD50815.2021.9396915

Volume Information: