Predicting Customer Intention through Social Media for Selecting Products

Abstract

Social media has completely reformed the concentration of marketing from a trader to buyer perspective. Nowadays, flow of marketing is controlled by customers rather than companies because of excess of information on social media sites. The Web facilitates us with a virtual world where customers can experience products before buying. Customer behavior includes the intentions and the actions they perform in the consumption and usage of a product. Customer intentions, feelings and activities are constantly changing. Customer post there reviews about products on social media. The problem arises when people want instant reviews about a product instead of wasting time on different Websites of products. The purpose of "Predicting Customer Intention through Social Media for Selecting Products" is to identify the likes and dislikes of customer using techniques of Natural Language Processing (N LP). We are targeting social media because youth is active and attracting towards social media. The aim of the project is to design such an efficient system that collect public data of social media users, analyze it by using algorithms of N LP and predict buying intentions of customer towards some specific product by performing sentiment analysis