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The Scientific World Journal
Volume 2014, Article ID 479746, 23 pages
Research Article

A Supervised Approach to Predict the Hierarchical Structure of Conversation Threads for Comments

School of ECE, College of Engineering, University of Tehran, P.O. Box 515-14395, Tehran, Iran

Received 30 August 2013; Accepted 27 November 2013; Published 11 February 2014

Academic Editors: O. Greevy and J. Sarangapani

Copyright © 2014 A. Balali et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Joshua Introne, Bryan Semaan, Sean Goggins, Joshua Introne, Bryan Semaan, and Sean Goggins, “A Sociotechnical Mechanism for Online Support Provision,” Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI '16, pp. 3559–3571, . View at Publisher · View at Google Scholar
  • Yunhao Jiao, Cheng Li, Fei Wu, and Qiaozhu Mei, “Find the Conversation Killers,” Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18, pp. 1145–1154, . View at Publisher · View at Google Scholar
  • Haoran Xie, Xiaodong Li, Jiantao Wang, Qing Li, and Yi Cai, “The Collaborative Search by Tag-Based User Profile in Social Media,” The Scientific World Journal, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Xiaoqing Hao, Haizhong An, Lijia Zhang, Huajiao Li, and Guannan Wei, “Sentiment Diffusion of Public Opinions about Hot Events: Based on Complex Network,” Plos One, vol. 10, no. 10, 2015. View at Publisher · View at Google Scholar
  • Aakanksha Sharaff, and Naresh Kumar Nagwani, “Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques,” Journal Of Information Science, vol. 42, no. 2, pp. 200–212, 2016. View at Publisher · View at Google Scholar
  • Hesham Faili, Ali Balali, and Masoud Asadpour, “A Supervised Method to Predict the Popularity of News Articles,” Computacion y Sistemas, vol. 21, no. 4, pp. 703–716, 2017. View at Publisher · View at Google Scholar