ADVERTISEMENT FEEDS BASED ON ONLINE USER’S MOOD ANALYSIS

Abstract

The main objective of this paper is to increase the buying percentage of the online users. By analysing one’s state of mind and displaying relevant advertisements will increase their interest in the product and thereby increase the buying percentage of the product. Social Media is a platform where many individuals express their feelings through words. By analysing these text contents and using stemming process, relevant advertisements will be displayed on the screen. If the user shows interest in the advertisement they can click on it, which will take them to the relevant link of the advertisement. This technique increases the percentage of sales of the product by displaying the right advertisement to the right person. The results show that the buying percentage increases by a minimum of 20% using this technique.