A Review of Common Approaches to Sentiment Analysis and Community Detection

Abstract

Sentiment analysis and community detection are two very active fields of research in computer science. They are both intimately linked to the modern phenomenon of social media, and can be very useful for extracting valuable information from a large corpus of social media posts. In this paper, we review the basic concepts of both fields and outline some of the algorithms and approaches that have been successfully applied. Finally, we take a look at the instances where both have been applied together.

Making sense of tweets using sentiment analysis on closely related topics

“…(Pak and Paroubek 2010;Kouloumpis et al 2011;Kumar and Sebastian 2012) analyzes twitter tweets using sentiment analysis. Furthermore, there are many works related to development and discussion about different sentiment analysis models (Kontopoulos et al 2013;Bhatnagar et al 2020;Zhang et al 2021;Yadav and Vishwakarma 2020). These models can be used to understand sentiment of a given text.…”

Making Sense of Tweets Using Sentiment Analysis on Closely Related Topics

“…[48,36,38] analyzes twitter tweets using sentiment analysis. Furthermore, there are many works related to development and discussion about different sentiment analysis models [35,8,72,71]. These models can be used to understand sentiment of a given text.…”