Abstract

Sentiment analysis represents the process of judging customers’ behavior expression and feeling as either positive, negative or neutral. Hence, a tangle of different approaches for sentiment analysis is being used, reflecting analysis of unstructured customers’ reviews dataset to guide and generate insightful and helpful information. The aim of this paper is to highlight research design of sentiment analysis and choice of methodological by other researchers in E-Commerce customers’ reviews to guide future development. This paper presents a study of sentiment analysis approaches, process challenges and trends to give researchers a review and survey in existing literature. Next, this study will discuss on feature extraction and classification method of sentiment analysis of customers’ reviews to have an exhaustive view of their methods. The knowledge on challenges of sentiment analysis underpins to clarify future directions.

Details

Title
A Survey on Sentiment Analysis Approaches in e-Commerce
Author
Thilageswari a/p Sinnasamy; Nilam Nur Amir Sjaif
Publication year
2021
Publication date
2021
Publisher
Science and Information (SAI) Organization Limited
ISSN
2158107X
e-ISSN
21565570
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2655113602
Copyright
© 2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.