Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Submission

2016-01-01

Advisor

Muhammad Sarim

Project Type

MSCS Survey Report

Abstract

Majority of the data that we witness today is gathered from Cloud sources. Social Networking and Blogging applications have conquered the world today in terms of connectivity. From users’ status updates to likings, followings, connecting with friends, use of hashtags, they tend to express themselves, discuss ideas, reveal personal details and get insights of the world and other users. Based on their habitual activities and affinities, the behavior of the user can be predicted automatically by various algorithms. This prediction flourishes the field of ‘Emotional Targeting’ of products, brands or other things. In this Research, I will be focusing on the categorization of users to personality types with respect to their online behavior.

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