Sentiment Analysis on Amazon Product Reviews using Text Analysis and Natural Language Processing Methods


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Authors

  • Abdul Haseeb Department of Electrical Engineering, University of Engineering and Technology Taxila, Pakistan
  • Rabia Taseen Department of Electrical Engineering, University of Engineering and Technology Taxila, Pakistan
  • Marryam Sani Department of Computer Sciences, COMSATS University Islamabad, Wah Cantt, Pakistan
  • Qamas Gul Khan Department of Electrical Engineering, University of Engineering and Technology Taxila, Pakistan

Keywords:

Text Analysis (TA), Natural Language Processing (NLP), Lexicon-Based Sentiment (LBS), Customer Satisfaction Score (CSS), and Application Programming Interface (API)

Abstract

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Published

2023-04-14

How to Cite

Haseeb, A., Taseen, R., Sani, M., & Khan, Q. G. (2023). Sentiment Analysis on Amazon Product Reviews using Text Analysis and Natural Language Processing Methods. International Conference on Engineering, Natural and Social Sciences, 1, 446–452. Retrieved from https://as-proceeding.com/index.php/icensos/article/view/485

Issue

Vol. 1 (2023): Proceeding Book of 2nd International Conference on Engineering, Natural and Social Sciences ICENSOS 2023

Section

Conference Papers