Borrower Sentiment on P2P Lending in Indonesia Based on Google Playstore Reviews

DOI

10.2991/aisr.k.200424.003How to use a DOI?

Keywords

fintech, P2P lending, sentiment analysies

Abstract

P2P lending is a part of fintech where the public can request small loans without the common procedures of a conventional bank. There are many issues that arise from the lack of regulations and information on P2P lending which are mostly negative. In this paper, we analyze the public perspective of P2P lending regarding their opinion. We use text classification using Naïve bayes and random forest tree to classify their opinion. The data are collected from Google Playstore application review which are manually labeled as positive or negative. This paper also analyzes the reasoning behind such sentiments and the aspects most important to Indonesian users in P2P lending services. The experiment shows no significant difference in the accuracy using both classifiers. We found keywords that affect the sentiment using InfoGainAttribute in Weka. Based on manual review, the users mainly focus on the speed of loans going through, the ease of use of the application as well as convenience in reviewing the platform.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nur Wulan Adhani POHAN
AU  - Indra BUDI
AU  - Ryan Randy SURYONO
PY  - 2020
DA  - 2020/05/06
TI  - Borrower Sentiment on P2P Lending in Indonesia Based on Google Playstore Reviews
BT  - Proceedings of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019)
PB  - Atlantis Press
SP  - 17
EP  - 23
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.200424.003
DO  - 10.2991/aisr.k.200424.003
ID  - POHAN2020
ER  -