Study of Sentiment Analysis on Reviews

Authors

  • Bhupendra Singh Shaktawat  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Sharad Sarangkar  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Shivansh Sharma  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Vikrant Dubole  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Varisha Khan  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Jayashree Chaudhari  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Customer Satisfaction, NLP, HSWN, Customer Review, Sentiment Analysis, ML.

Abstract

Sentiment analysis and opinion mining is the area of study that analyses people's opinions, sentiments, attitudes, and emotions from written language. Sentiment analysis systems are being applied in almost every business and social domain which helps them to analyse customer satisfaction of their product because opinions are central to almost all human activities and are key influences of our behaviours. The suggested framework for Movie Review consists mainly of data collection and pre-processing, and measurement of customer satisfaction. In Data collection and pre-processing stage, text mining is utilized to compile customer-review-based dictionaries of attributes and sentiment words. Then, using sentiment analysis, sentiment scores for attributes are calculated for each Movie Review. An empirical case study will be conducted on customer reviews on movies. We believe that the our proposed customer review based approach not only saves time and effort in measuring customer satisfaction, but it also captures the real voices of customers.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

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How to Cite

[1]
Bhupendra Singh Shaktawat, Sharad Sarangkar, Shivansh Sharma, Vikrant Dubole, Varisha Khan, Prof. Jayashree Chaudhari, " Study of Sentiment Analysis on Reviews, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.55-59, September-October-2019.