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.

Thilageswari a/p Sinnasamy and Nilam Nur Amir Sjaif, “A Survey on Sentiment Analysis Approaches in e-Commerce” International Journal of Advanced Computer Science and Applications(IJACSA), 12(10), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121074

@article{Sinnasamy2021,
title = {A Survey on Sentiment Analysis Approaches in e-Commerce},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121074},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121074},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {10},
author = {Thilageswari a/p Sinnasamy and Nilam Nur Amir Sjaif}
}