Discriminative bi-term topic model for headline-based social news clustering
(2015)
Presentation / Conference Contribution
Xia, Y., Tang, N., Hussain, A., & Cambria, E. (2015, May). Discriminative bi-term topic model for headline-based social news clustering. Presented at The Twenty-Eighth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Hollywood, Florida
Social news are becoming increasingly popular. News organizations and popular journalists are starting to use social media more and more heavily for broadcasting news. The major challenge in social news clustering lies in the fact that textual conten... Read More about Discriminative bi-term topic model for headline-based social news clustering.