Personality Analysis by Tweet Mining

Abstract

Social Media addiction is becoming a Commonplace. A user gets deeply involve with an application or website that he share it thoughts , ideas and viewpoints on these platforms more comfortably then communicating with an people face to face . By text mining these viewpoint and thoughts from social Media psychological profiling can b done to improve user experience  & personality assessment .The aim is to exhibits the construct validation framework for  Personality Analysis using machine learning approaches like Term Frequency-Inverse Document Frequency (TF-IDF) SVM. We put forward the methodology by which  user’s personality can be analyzed using publicly available information on user’s personal Twitter account using  the Myers_Briggs Type Indicator (MBTI). This study will contribute & help in many ways such as customization of Content displayed and  product list , Recruitment and Information Retrieval.