MBA Journals Peer-reviewed management research from Consortium e-Learning Network

NOLEGEIN Journal of Information Technology & Management

Artificial Intelligence and Intelligent Machining Sentiment Analysis of Ecommerce Product Reviews

  1. Kunal Hemant Lokhande
  2. Gaurav Krishna Gupta
  3. Pratik Ealumalai Mudliyar
  4. Vrushali Pankaj Thakur

Abstract

Sentiment analysis plays a awfully necessary role in BI’s (Business Intelligence) applications that hasbeen evident in the recent market activities. Towards sentiment analysis for most of the favoredwebsites like Amazon, Facebook, Twitter necessitate the review of the shoppers that ar used as afeedback. It’s play vital role for product review, Business intelligence additionally as in deciding. Themain problem that arises to the purpose of read of users/customers is that, it is much in-feasible toscan all those on-line reviews one by one, as a result of a number of the product might need tens ofthousand reviews. During this paper, reviews ar collected from the sourceslike Amazon, Flipkart, andso used a technique to mix each information processing (Natural Language Processing) and machinelearning approach. Word sense elucidation is additionally thought-about for this study. Animprovised lesk algorithms is employed for removing noise within the knowledge. Different types ofinformation have differing types of properties and therefore ar suited to completely differenttechniques correspondingly. This problem is closely associated with the big scale nature of socialnetworks and therefore the necessity to perform aggregation operations, which results within the typeof Pie-Chart.

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