Artificial Intelligence and Intelligent Machining Sentiment Analysis of Ecommerce Product Reviews

Authors

  • Kunal Hemant Lokhande
  • Gaurav Krishna Gupta
  • Pratik Ealumalai Mudliyar
  • Vrushali Pankaj Thakur

Keywords:

: Analysis, Product, Reviews, Sentiment, Business Intelligence

Abstract

Sentiment analysis plays a awfully necessary role in BI’s (Business Intelligence) applications that has
been evident in the recent market activities. Towards sentiment analysis for most of the favored
websites like Amazon, Facebook, Twitter necessitate the review of the shoppers that ar used as a
feedback. It’s play vital role for product review, Business intelligence additionally as in deciding. The
main problem that arises to the purpose of read of users/customers is that, it is much in-feasible to
scan all those on-line reviews one by one, as a result of a number of the product might need tens of
thousand reviews. During this paper, reviews ar collected from the sourceslike Amazon, Flipkart, and
so used a technique to mix each information processing (Natural Language Processing) and machine
learning approach. Word sense elucidation is additionally thought-about for this study. An
improvised lesk algorithms is employed for removing noise within the knowledge. Different types of
information have differing types of properties and therefore ar suited to completely different
techniques correspondingly. This problem is closely associated with the big scale nature of social
networks and therefore the necessity to perform aggregation operations, which results within the type
of Pie-Chart.

Published

2021-07-31

How to Cite

Lokhande , K. H. ., Gupta, G. K. ., Mudliyar, P. E. ., & Thakur, V. P. . (2021). Artificial Intelligence and Intelligent Machining Sentiment Analysis of Ecommerce Product Reviews . NOLEGEIN- Journal of Information Technology &Amp; Management, 4(1). Retrieved from https://mbajournals.in/index.php/JoITM/article/view/713