Lifetime lexical variation in social media

• Main Authors: LIAO, Lizi, JIANG, Jing, DING, Ying, HUANG, Heyan, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Age topic model; Gibbs-EM; Lexical variation; Computer Sciences; Databases and Information Systems; Social Media
• Online Access: https://ink.library.smu.edu.sg/sis_research/2414; https://ink.library.smu.edu.sg/context/sis_research/article/3414/viewcontent/8381_38342_1_PB.pdf
• Institution: Singapore Management University

As the rapid growth of online social media attracts a large number of Internet users, the large volume of content generated by these users also provides us with an opportunity to study the lexical variation of people of different ages. In this paper, we present a latent variable model that jointly m...