The results indicate that the RoBERTa model is effective for sentiment analysis of Indonesian-language application reviews, but requires better labeling strategies and data augmentation to improve neutral class performance.
The rapid development of digital technology has driven the increasing use of mobile applications in the retail sector, one of which is the Alfagift application developed by PT Sumber Alfaria Trijaya Tbk. User reviews on Google Play Store contain valuable information regarding user satisfaction and complaints, yet their...
Nazwa Asyifa, S. Susanto· Jurnal Teknologi Informasi d...· 0 citations
The analysis of feature importance shows that positive sentiment is dominated by words related to delivery speed and price, while negative sentiment is dominated by complaints about system errors, sellers, and refund processes, which can be used by application managers to prioritize service improvements.
Sopi Sapriadi, Rahmatia Wulan Dari, Y. Eirlangga· Jurnal Teknologi Dan Sistem...· 0 citations
Overall, the study confirms that Bi-LSTM is a suitable deep learning approach for sentiment classification of application reviews and offers meaningful insights that can support Duolingo developers in evaluating user opinions and enhancing application quality.
Muhammad Nasrullah, Abdul Azis, Intan Mila Hakim· JURNAL ILMIAH SAINS TEKNOLOG...· 0 citations
Abstract: The Digital Population Identity (IKD) application allows citizens to access population documents electronically. Service evaluations can be found in user reviews on the Google Play Store, but manual analysis is challenging due to their large and unstructured volume. This study analyzes the sentiment of IKD us...
Atiqa Auliana Fitri, Y. Yuhandri, Rini Sovia· Journal of Science and Socia...· 0 citations
Investigation of user sentiment toward the Threads app through review classification indicates that the method used is capable of identifying user opinions and can be used as a basis for evaluating improvements in app service quality.
Gojek and Grab are two leading online transportation platforms in Indonesia, receiving millions of user reviews on the Google Play Store. Previous studies analyzing reviews of both applications have generally produced final sentiment classifications without transparently explaining why a review is categorized into a pa...
Daffa Putra Emeral· Neptunus· 0 citations
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