Work

Public Stigma About Polygamy Based on Islamic-muhammadiyah Views Using Sentiment Analysis Approach

Year: 2024

Type: article

Abstract: Social media is very important to control the development of issues that occur today. With social shifts and changing societal values, polygamy has become a complex issue and attracts the attention of many people around the world discussed through social media platforms. This research contributes to the field by applying a sentiment analysis approach to automatically detect and analyze public sentiment regarding polygamiy content on Twitter, particularly in the context of Islamic-Muhammadiyah views. This study used decision tree classification methods, support vector machines, and random forests with the best analysis accuracy obtained at SVM 77.4%. Furthermore, the results of the sentiment class obtained were analyzed according to the views of Muhammadiyah. The results obtained in the analysis 77% commented negatively and 23% commented positively. In addition, this research can be used as a reference for future research on sentiment analysis cases to training and testing classroom models.

Source: International Journal of Social Service and Research

DOI: 10.46799/ijssr.v4i8.896

Authors: Mhd Lailan Arqam, Asno Azzawagama Firdaus, Palahuddin Palahuddin, Furizal Furizal, Alwas Muis, Ahmad Muslih Atmojo

Institutions: Universitas Ahmad Dahlan, Universitas Qamarul Huda Badaruddin, University of Muhammadiyah Mataram, Islamic University of Riau, Universitas Muhammadiyah Kendari

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4401889016

FWCI:

Cites: 28

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Related to: 10