Sentiment Analysis for Religious Tweets

Authors

  • Shahislam Abubakir
  • Aruzhan Baimbet Kazakh-British Technical University
  • Akmaral Kabieva Kazakh-British Technical University
  • Bauyrzhan Sarsenov Kazakh-British Technical University
  • Aisha Seidilabek Kazakh-British Technical University
  • Iskander Akhmetov Instituto Politécnico Nacional
  • Alexander Gelbukh

DOI:

https://doi.org/10.13053/cys-28-4-5208

Keywords:

Sentiment Analysis, VADER, Religious text, Tweets

Abstract

Sentiment analysis of Twitter data has received a lot of interest and has shown diverse findings. Because of the brief data used in tweets, it draws the opportunity to get information about public opinion by studying Twitter data and automatically identifying its sentiment polarity. The goal of this study was to classify religious Tweets and extract opinion words about a specific religion. In this paper, we used the Valence Aware Dictionary for Sentiment Reasoner (VADER) to categorize tweets containing the phrase “there is religion.” The results indicated that detecting many classes of sentiment analysis was accurate.

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Published

2024-12-03

Issue

Vol. 28 No. 4 (2024): 28(4) 2024

Section

Articles

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