Sentiment Analysis for Religious Tweets
Abubakir S. Baimbet A. Kabieva A. Sarsenov B. Seidilabek A. Akhmetov I. Gelbukh A.
2024Instituto Politecnico Nacional
Computacion y Sistemas
2024#28Issue 41911 - 1918 pp.
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.
religious text , Sentiment analysis , tweets , VADER
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Kazakh-British Technical University, School of Information Technologies and Engineering, Almaty, Kazakhstan
Insitute of Information and Computational Technologies, Almaty, Kazakhstan
Instituto Politecnico Nacional, Centro de Investigación en Computación, Mexico City, Mexico
Kazakh-British Technical University
Insitute of Information and Computational Technologies
Instituto Politecnico Nacional
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