Topic Discovery from Tweet Replies

Bingtian DAI, Singapore Management University
Ee Peng LIM, Singapore Management University
Philips Kokoh Prasetyo, 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 groups of twitter users. Our model has then been evaluated with a tweet dataset to show its effectiveness.