Analyzing Consumer Reviews with Text Mining Approach

Author:

Dasgupta Subhasis1,Sengupta Kalyan2

Affiliation:

1. PhD scholar, School of Management, RK University and Assistant Professor, Praxis Business School, Kolkata, West Bengal, India

2. Professor & Head of Computer Dept, Indian Institute of Social Welfare and Business Management, Kolkata, West Bengal, India

Abstract

In the era of Internet, it is not necessary to run an expensive market survey to explore what the users are saying about a product and to find out whether there are any modifications required within the product. There are several sites available where users from different parts of the world post their comments after using a product. These comments can be analyzed scientifically through text mining to understand how the users have used different words in relation to the said product. The current study has been focused at finding out the word association with Samsung Galaxy 3 (a high-end smart phone). It also deals with how a few keywords are related to other words through correlation analysis.

Publisher

SAGE Publications

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Textual Analysis of Agricultural Product Reviews Based on LDA Model;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

2. Design of a User Comment Management System Based on Text Mining;Journal of Organizational and End User Computing;2023-07-21

3. Insight monetization intermediary platform using recommender systems;Electronic Markets;2021-01-06

4. Sentiment Classification of Crowdsourcing Participants’ Reviews Text Based on LDA Topic Model;IEEE Access;2021

5. Text Mining Tutorial;Group Processes;2017

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