Opinion Mining for the Customer Feedback using TextBlob

Authors

  • Praveen Gujjar J  Research Scholar, Visvesvaraya Technological University, Belagavi, Karnataka, India
  • Dr. Prasanna Kumar H R  Professor and Head, Department of ISE, PES Institute of Technology and Management, Shivamogga, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT206418

Keywords:

Opinion Mining, Decision making, Natural language processing, customer feedback, TextBlob

Abstract

Evolution in the field of web technology has made an enormous amount of data available in the web for the internet users. These internet users give their useful feedback, comments, suggestion or opinion for the available product or service in the web. User generated data are very essential to analyze for business decision making. TextBlob is one of the simple API offered by python library to perform certain natural language processing task. This paper proposed a method for analyzing the opinion of the customer using TextBlob to understand the customer opinion for decision making. This paper, provide a result for aforesaid data using TextBlob API using python. The paper includes advantages of the proposed technique and concludes with the challenges for the marketers when using this technique in their decision-making.

References

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Published

2020-08-30

Issue

Section

Research Articles

How to Cite

[1]
Praveen Gujjar J, Dr. Prasanna Kumar H R, " Opinion Mining for the Customer Feedback using TextBlob, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.72-76, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT206418