GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning

Rifki Dwi Kurniawan
International Journal of Information Technology an... 📅 2024 Vol 6, No 2 🔗 DOI: 10.24246/ijiteb.622024.31-36
Abstract
GoPay as one of the digital payment applications in Indonesia faces challenges in understanding user perceptions in the midst of fierce competition. This study aims to develop a user review sentiment analysis model by comparing two approaches to text representation, namely TF-IDF and BERT, as well as two machine learning algorithms, namely Random Forest and Logistic Regression. Review data is obtained from the Google Play Store and processed through pre-processing, feature extraction, and sentiment modeling. The results showed that the combination of BERT + Logistic Regression provided the best performance with an F1 Score of 0.86, showing the superiority of BERT in understanding the semantic context compared to TF-IDF. An important feature analysis identifies financial-related words such as "duitnyaapakah" and "kompensasi" as key issues. This research makes a practical contribution by helping app developers improve the user experience through prioritizing relevant features and solutions to key problems complained of.
Keywords
BERT; Logistic Regression; Random Forest; Sentiment Analysis; TF-IDF
How to Cite

Rifki Dwi Kurniawan (2024). GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning. International Journal of Information Technology and Business (IJITEB), 6(2). https://doi.org/10.24246/ijiteb.622024.31-36

Rifki Dwi Kurniawan, "GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning," International Journal of Information Technology and Business (IJITEB), vol. 6, no. 2, 2024.

Rifki Dwi Kurniawan. "GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning." International Journal of Information Technology and Business (IJITEB), vol. 6, no. 2, 2024.

Rifki Dwi Kurniawan. "GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning." International Journal of Information Technology and Business (IJITEB) 6, no. 2 (2024).

Rifki Dwi Kurniawan (2024) 'GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning', International Journal of Information Technology and Business (IJITEB), 6(2). doi: 10.24246/ijiteb.622024.31-36.

Rifki Dwi Kurniawan. GoPay App Review Sentiment Classification Optimization Using a Combination of Text Representation and Machine Learning. International Journal of Information Technology and Business (IJITEB). 2024;6(2).

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