Analysis of Google Play Store's Sentiment Review on Indonesia's P2P Fintech Platform

• Published in: 2022 IEEE Delhi Section Conference (DELCON) pp. 1 - 5
• Main Authors: Amrie, Syahrul, Kurniawan, Sandy, Windiatmaja, Jauzak Hussaini, Ruldeviyani, Yova
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.02.2022
• Subjects: Conferences; Distance measurement; Feature extraction; Finance; IEEE Sections; Mutual funds; Naive Bayes Classifier; P2P lending; Pandemics; Sentiment Analysis; TF-IDF
• DOI: 10.1109/DELCON54057.2022.9753108

Nowadays there are so many mobile phone-based investment applications, ranging from mutual funds, stocks, and P2P lending. While these investment applications are gaining huge attraction among the general masses, sometimes selecting the right platform still becomes a hot issue. This research aimed to analyze the sentiment on P2P lending applications and to determine the user's response due to the increase in the number of funds distribution during the COVID-19 pandemic. By doing so, this research could give some insight into the new and existing user. Data was obtained through assessment reviews on the Play store platform for the P2P A, P2P B, and P2P C applications. Assessment reviews were classified by using a data mining approach, TF-IDF feature extraction, and Naïve-Bayes classification method. This research showed that P2P A got 77% positive sentiment and 23% negative sentiment, P2P B got 36% positive sentiment and 64% negative sentiment, and P2P C got 68% positive sentiment and 32% negative sentiment. From the results of the study, it was found that P2P A got better results than both P2P B and P2P C. those were 77% positive sentiment with 23% negative sentiment in finance topic, 56% positive sentiment with 44 % negative sentiment in account verification topic, 79% positive sentiment with 21% negative sentiment in apps review, and 99% positive sentiment with 1% negative sentiment in referral topic.