Topic discovery from tweet replies

• Main Authors: DAI, Bingtian, LIM, Ee Peng, PRASETYO, Philips Kokoh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/3160; https://ink.library.smu.edu.sg/context/sis_research/article/4161/viewcontent/TopicDiscoveryTweetReplies_2012_MLG.pdf
• Institution: Singapore Management University

Twitter is a popular online social information network service which allows people to read and post messages up to 140 characters, known as “tweets”. In this paper, we focus on the tweets between pairs of individuals, i.e., the tweet replies, and propose a generative model to discover topics among g...