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Sentiment Analysis of Customer Reviews for Online Stores That Support Customer Buying Decisions
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Author(s): Geetha Manoharan (SR University, India), Subhashini Durai (Dr. G.R.Damodaran College of Science, India), Gunaseelan Alex Rajesh (Sri Venkateswara Institute of Information Technology and Management, India)and Sunitha Purushottam Ashtikar (SR University, India)
Copyright: 2023
Pages: 9
Source title:
Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Source Author(s)/Editor(s): Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia), K. Hemachandran (Woxsen University, India), Anil Pise (University of the Witwatersrand, South Africa)and B. Justus Rabi (Christian College of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6519-6.ch015
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Abstract
This research was carried out in order to conduct a sentiment analysis on customer reviews for an online store. It is a technique that makes use of textual contextual mining to identify and extract information that is subjective. This type of analysis aids a company in understanding the attitudes of their customers toward their brand, products, and services. When it comes to making evidence-based decisions, sentiment analysis is taken to the next level by using count-based metrics. The study examines the key aspects of the product that their customers are concerned about, as well as the reactions or intentions that these customers have toward their brand and product. The analysis is carried out using a machine learning approach, specifically a supervised learning approach. Sentiment analysis is carried out using the decision tree technique. The findings assist decision makers in understanding the attitudes of customers toward a brand, a product, or a service. This assists them in determining their future business strategy, which will help them increase their sales and profits.
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