Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Brilliance: Research of Artificial Intelligence
Huda, Moh. Abroril
Unknown Affiliation
Decision Sciences, Operations Research & Management Mathematics Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analysis of Google Play Store User Sentiment Towards Application X Using the SVM Algorithm Arifin, Mohammad Nazir; Amir Hamzah; Huda, Moh. Abroril; Hasanah, Nor
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.6024

Abstract

This study uses the Support Vector Machine (SVM) algorithm to examine user opinions about the X app on the Google Play Store. Data went through preprocessing steps like cleaning, casefolding, tokenizing, filtering, and sentence reconstruction from 5,000 reviews that were gathered via web scraping. Using a lexicon-based method, sentiment labeling was carried out, categorizing reviews into three groups: neutral, negative, and positive. The findings indicated that 49.4% of respondents had unfavorable opinion, followed by neutral (29.8%) and positive (20.8%). An SVM model with an accuracy of 86.3% was generated by feature extraction using Bag of Words with CountVectorizer. The neutral class had the highest recall (0.96) and the negative class the highest precision (0.95). With an F1-score of 0.78, the positive class performed the worst, most likely as a result of data imbalance. Despite difficulties in categorizing minority classes, this study shows that SVM is useful in sentiment analysis.
Co-Authors Amir Hamzah Arifin, Mohammad Nazir Nor Hasanah