Measuring Consumer Perception for P2P Platform: NLP Approach

Title

Measuring Consumer Perception for P2P Platform: NLP Approach

Creator

Gupta S.; Mahajan J.; Saxena A.

Description

The pandemic has forced lenders and borrowers to switch to alternative borrowing., investment solutions. This research explores the Google reviews of users of four P2P lending platforms in India. To understand user sentiments and emotions about P2P lending platforms. The researchers has analysed user sentiments using Vader and Liu Hu methods and defined the polarity as positive or negative sentiment. Further., Plutchik's wheel of emotions was used to relate with the emotions expressed by the users. A purposeful random sampling method was used to select only 4 out of 21 registered P2P lending platforms based on their date of incorporation. The research also defined a framework for carrying out the sentiment analysis process for this study. The overall results showed that 75.51 % of users had positive sentiments., whereas., only 19.35% of users had negative sentiments about the P2P lending platforms. As most of the reviews posted were from the borrower's., emotion of joy was seen in all 4 platforms., followed by emotions of sadness., surprise., anger., disgust., and fear. 2022 IEEE.

Source

2022 2nd International Conference on Intelligent Technologies, CONIT 2022

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Analysis; Google reviews; LDA; Sentiment analysis; Topic Modelling

Coverage

Gupta S., Christ University, India; Mahajan J., Christ University, India; Saxena A., Christ University, India

Rights

Restricted Access

Relation

ISBN: 978-166548407-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/CONIT55038.2022.9848083

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137260891&doi=10.1109%2fCONIT55038.2022.9848083&partnerID=40&md5=92de07f8ae97491e8ca53bf0b67e1305