Real Time Personality Analysis by Tweet Mining

DATA Mining

Authors

  • Hirra Mustafa Sharif College of Engineering and Technology
  • Tuba Riphah International University
  • Sobia Y University of okara
  • Shahid M University of Central Punjab Pakistan
  • Md. Mijanur Jatiya Kabi Kazi Nazrul Islam

DOI:

https://doi.org/10.56536/jicet.v3i1.60

Keywords:

twitter, Methodology, MBTI, Social Media, Personality Analysis, user experience

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.

Author Biographies

Tuba, Riphah International University

Lecturer  ,Department of Computer Science

Sobia Y, University of okara

Lecturer  ,Department of Computer Science

Shahid M, University of Central Punjab Pakistan

 

 

Md. Mijanur , Jatiya Kabi Kazi Nazrul Islam

PhD Professor , Department of Computer Science and Engineering

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Published

2023-03-02