Twitter-LDA

• Main Authors: ZHAO, Wayne Xin, JIANG, Jing, WENG, Jianshu, HE, Jing, LIM, Ee Peng, YAN, Hongfei, LI, Xiaoming
• 格式: text
• 出版: Institutional Knowledge at Singapore Management University 2011
• 主題: Computer Sciences; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/researchdata/12; https://github.com/minghui/Twitter-LDA
• 機構: Singapore Management University

Latent Dirichlet Allocation (LDA) has been widely used in textual analysis. The original LDA is used to find hidden "topics" in the documents, where a topic is a subject like "arts" or "education" that is discussed in the documents. The original setting in LDA, where ea...