Thursday 28th of March 2024
 

Finding Correlation between Content Based Features and the Popularity of a Celebrity on Twitter


Muhammad Asghar, M. Faheem Mushtaq, Hina Asmat, Malik Muhammad Saad Missen, Tareef Ali Khan and Saleem Ullah

Popularity of a celebrity having twitter account is generally estimated by the number of twitter account holders following him on twitter. In this paper, we explore some content based features to evaluate their role for estimating the popularity of a celebrity. We try to find out the co-relation of celebrities popularity with number of other features like frequency of tweets posted by a celebrity and the relevancy of tweets to their domains. We take support of named entity recognition for later task. For the data collection, we collected about 60K tweets of 60 different celebrities with the help of API method provided by twitter. The current study aims to reveal many unseen patterns existing in celebrities twitter usage that includes computing per day tweet frequency and finding out how it correlates with number of followers. Also we find out the correlations of tweets with domains of the celebrities.

Keywords: Short text messaging, mobile health-care, social networking, rural health

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ABOUT THE AUTHORS

Muhammad Asghar
Dept. of Computer Science & IT The Islamia University of Bahawalpur

M. Faheem Mushtaq
Dept. of Computer Science & IT The Islamia University of Bahawalpur

Hina Asmat
Dept. of Computer Science & IT The Islamia University of Bahawalpur

Malik Muhammad Saad Missen
Dept. of Computer Science & IT The Islamia University of Bahawalpur

Tareef Ali Khan
Dept. of Computer Science & IT The Islamia University of Bahawalpur

Saleem Ullah
Dept. of Computer Science & IT The Islamia University of Bahawalpur


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