Volume : 9, Issue : 6, JUN 2023

NATIONAL CONFERENCE ON INNOVATIONS IN COMPUTING TECHNOLOGIES (NCICT'23)

NOVEL DEEP LEARNING APPROACHES FOR OPINION MINING WITH MACHINE LEARNING

KANIMOZHI.J, DR.R.MANICKA CHEZIAN

Abstract

The popularity of online marketplaces over the past several decades, online vendors and merchants now request feedback from their customers on the goods they have purchased. As a consequence, millions of evaluations are produced every day, which makes it challenging for a potential customer to decide whether to buy the goods or not. For product makers, it is challenging and time-consuming to analyse this massive volume of comments. The challenge of categorizing reviews according to their general semantic content (positive, negative, neutral) is examined. SVM and Nave Bayes, two different supervised machine learning approaches, have been tested on Amazon beauty goods to perform the study. Then, their accuracy levels were contrasted. The outcomes demonstrated that the SVM technique performs better than the Nave Bayes.

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