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

Related Articles

 Smart Data Server for Smart Shops

The Now a day internet plays a very major role in business processes. The internet acts as the kind of the bonding between the customers and an organization (probably business), the customer can obtain the  inform...

 A Novel identity based secure distributed data storage scheme

 Abstract: Secure distributed data storage can shift the burden of maintaining a large number of files from the owner to proxy servers. Proxy servers can convert encrypted files for the owner to encrypted files for...

 Swot Analysis Of Software Quality Metrics For Global Software Development: A Systematic Literature Review Protocol

 CONTEXT – Global Software Development (GSD) is a modern software engineering paradigm adopted by many client organisations in developed countries to get high quality product at low cost in low wage countries. Pro...

 Script Identification for printed document images at text-line  level using DCT and PCA 

 The progress of information technology and the wide reach of the Internet are drastically changing all fields of activity in modern days. As a result, a very large number of people would be required to interact &...

 New Skills for Testers

 In our world, software development and testing teams often work under ambitious deadlines, discovering what needs to be done at the same time as they’re discovering how to do [1]. On the other front, there is a...

Download PDF file
  • EP ID EP89740
  • DOI -
  • Views 138
  • Downloads 0

How To Cite

Kanupriya Sharma, Amanpreet Kaur (2015).  A review of the existing state of Personality prediction of Twitterusers with Machine Learning Algorithms. IOSR Journals (IOSR Journal of Computer Engineering), 17(4), 35-38. https://europub.co.uk./articles/-A-89740