A review of the existing state of Personality prediction of Twitterusers with Machine Learning Algorithms
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: Twitter is a popular social media platform with millions of users. The tweets shared by these usershave recently attracted the attention of researchers from diverse fields. In this paper, we focus primarily onpredicting user’s personality from the analysis of tweets shared by the user. However, different techniques havebeen used to predict a user’s personality from tweets but there are certain shortcomings which still need to beaddressed. The aim of this paper is to consider the current state of this research and explore the need ofpredicting personality from tweets by crucially reviewing the literature done till date and provide an overviewof the different measures taken to alleviate the issues faced by researchers in this field.
Authors and Affiliations
Kanupriya Sharma , Amanpreet Kaur
Keywords
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- EP ID EP89739
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