Modeling Interaction Features for Debate Side Clustering

• Main Authors: QIU, Minghui, YANG, Liu, JIANG, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: social media; discussion posts; viewpoint identification; data mining; user interaction; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/2060; https://ink.library.smu.edu.sg/context/sis_research/article/3059/viewcontent/cikm2013_qiu.pdf
• Institution: Singapore Management University

Online discussion forums are popular social media platforms for users to express their opinions and discuss controversial issues with each other. To automatically identify the sides/stances of posts or users from textual content in forums is an important task to help mine online opinions. To tackle...