Sentiment Analysis using Opinion Mining on Customer Review

Authors

  • Prachiti Akre Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, INDIA
  • Rushikesh Malu Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, INDIA
  • Aparna Jha Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, INDIA
  • Yash Tekade Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, INDIA
  • Wani Bisen Assistant Professor, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, INDIA

DOI:

https://doi.org/10.31033/ijemr.13.4.5

Keywords:

Opinion Mining, Opinion Summarization, Natural Language Processing

Abstract

Opinion mining is the process of discovering user opinions about a subject, a product, or an issue. Sentiment analysis is the process of separating opinions' feelings from those opinions. This work presents a comprehensive review of techniques in sentiment analysis using opinion mining. We start by discussing the basic concepts of opinion mining and then delve into various techniques and approaches used for sentiment analysis. This work focuses on analyzing the user reviews on products from e-commerce websites such as amazon.com and compares products of similar specifications based on the polarity of user reviews for the products calculated using nlp and naive bayes classification.

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Published

2023-08-05

How to Cite

Prachiti Akre, Rushikesh Malu, Aparna Jha, Yash Tekade, & Wani Bisen. (2023). Sentiment Analysis using Opinion Mining on Customer Review. International Journal of Engineering and Management Research, 13(4), 41–44. https://doi.org/10.31033/ijemr.13.4.5