Review Analysis of Products Based on Consumer Needs Using SVM (Support Vector Machine)

Author(s):

Pranav Kumar , Bharati Vidyapeeth College of Engineering, Pune; Prof. Sachin Wakudekar, Bharati Vidyapeeth College of Engineering, Pune; Arpit Mishra, Bharati Vidyapeeth College of Engineering, Pune; Pranav Kumar, Bharati Vidyapeeth College of Engineering, Pune; Kshitij Chauhan, Bharati Vidyapeeth College of Engineering, Pune

Keywords:

AI Approach, Support Vector Machine, Customer Needs, Buyer Goal, Tweet Activities

Abstract:

As of late, there has been a critical ascent in the web based business industry and all the more explicitly in individuals purchasing items on the web. An ever increasing number of individuals have begun posting on the web about whether they need to purchase the item or finding out if they should purchase the item or not. There has been a ton of exploration being done on sorting out the purchasing behaviors of a client and all the more significantly the components which decide if the client will purchase the item or not. One such stage is Twitter which has gotten very mainstream as of late. In this examination, we will investigate the issue of recognizing and foreseeing the buy aim of a client for an item. Subsequent to applying different content insightful models to tweets information, we have discovered that it is to be sure conceivable to foresee if a client have shown buy aim towards an item or not, and in the wake of doing some examination we have discovered that individuals who had at first shown buy aim towards the item have much of the time likewise purchased the item.

Other Details:

Manuscript Id	:	IJSTEV8I2010
Published in	:	Volume : 8, Issue : 2
Publication Date	:	01/09/2021
Page(s)	:	29-33

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