Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Dublin Core

Title

Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews

Subject

user reviews
sentiment analysis
topic modeling
visualisation

Description

Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, to make a decision. This study attempts to bridge this gap and proposes a hybrid approach of topic modeling that combines supervised and unsupervised learning. In particular, the study collected a massive amount of Amazon user reviews, analyzed the reviews' texts, and combined two approaches of topic modeling, which are unsupervised and supervised learning, i.e., semi-supervised learning. Besides, the study makes classification on reviews based on sentiment analysis. The resulting reviews' topics and their sentiment classifications are displayed on a visual dashboard. The proposed hybrid approach showed better performance in terms of text analysis and clearer representation of review topics. The outcome of this study helps customers make their decision on purchase products in a more effortless and clearer way.

Creator

Alnusyan, Ruba
Almotairi , Ruba
Almufadhi, Sarah
A. Al-Shargabi, Amal
F. Alshobaili, Jowharah

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 79-93
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2022-04-26

Rights

Copyright (c) 2022 Ruba Alnusyan
https://creativecommons.org/licenses/by/4.0

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Ruba Alnusyan et al., Hybrid Approach for User Reviews' Text Analysis and Visualization: A Case Study of Amazon User Reviews, International Association of Online Engineering (IAOE), Vienna, Austria, 2022, accessed November 23, 2024, https://igi.indrastra.com/items/show/2272

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