Classifying and measuring the influence of Arabic tweet

International Conference on Big Data Analysis and Data Mining

May 04-05, 2015 Kentucky, USA

Adel Alsalem

Posters-Accepted Abstracts: J Comput Sci Syst Biol

Abstract :

The micro blogging platform, Twitter, is used to communicate short messages at high rates. With the number of monthly active users reaching over 270 million in 2014, this calls researchers to exploit its potential. Similarly, with the significant rise of Arabic users of Twitter reaching almost 5.8 million active users as of March 2014, we aim to analyze Arabic tweets. In particular, we focus on finding aspects that will direct the user to concentrate on the aspects that have a major influence on followers. By analyzing Arabic, tweets we developed a new method that can classify and measure the influence. There is very little research on the study of measuring the influence of Arabic tweets. We will discuss several ways to measure the influence and we also show how we determine the influence the user has on followers.

Biography :

Adel Alsalem has received his Phd from Kent University, USA. Currently he is working as Assistant Professor at College of computer and information science, Saudi Arabia. His research interests include Parallel systems, Human computer interaction, Electronic education.