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Understanding Types of Users on Twitter
SocialCom-Stanford (2014)
  • Muhammad Moeen Uddin, Lahore University of Management Sciences
  • Muhammad Imran, Qatar Computing Research Institute
  • Hassan Sajjad, Qatar Computing Research Institute
Abstract
People use microblogging platforms like Twitter to involve with other users for a wide range of interests and practices. Twitter profiles run by different types of users such as humans, bots, spammers, businesses and professionals. This research work identifies six broad classes of Twitter users and employs a supervised machine learning approach which uses a comprehensive set of features to classify users into the identified classes. For this purpose, we exploit users' profile and tweeting behavior information. We evaluate our approach by performing 10-fold cross validation using manually annotated 716 different Twitter profiles. High classification accuracy (measured using AUC, and precision, recall) reveals the significance of the proposed approach.
Keywords
  • Twitter,
  • Social Media,
  • Twiiter users,
  • classification,
  • machine learning
Publication Date
Summer May 27, 2014
Citation Information
Muhammad Moeen Uddin, Muhammad Imran and Hassan Sajjad. "Understanding Types of Users on Twitter" SocialCom-Stanford (2014)
Available at: http://works.bepress.com/imran/4/