International Journal of Engineering and Management Research
  • Year: 2023
  • Volume: 13
  • Issue: 4

Sentiment Analysis using Opinion Mining on Customer Review

  • Author:
  • Prachiti Akre1, Rushikesh Malu2, Aparna Jha3, Yash Tekade4, Wani Bisen5,*
  • Total Page Count: 4
  • Page Number: 41 to 44

1Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

2Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

3Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

4Student, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

5Assistant Professor, Department of CSE, Shri Ramdeobaba College of Engineering and Management, Nagpur, India

*Corresponding Author: bisenwh@rknec.edu

Online Published on 12 October, 2023.

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.

Keywords

Opinion Mining, Opinion Summarization, Natural Language Processing