Topic modeling for multi-aspect listwise comparison

• Main Authors: ZHANG, Delvin Ce, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Generative Topic Model; Text Mining; Comparative Documents; Databases and Information Systems; Data Science
• Online Access: https://ink.library.smu.edu.sg/sis_research/6432; https://ink.library.smu.edu.sg/context/sis_research/article/7435/viewcontent/cikm21.pdf
• Institution: Singapore Management University

As a well-established probabilistic method, topic models seek to uncover latent semantics from plain text. In addition to having textual content, we observe that documents are usually compared in listwise rankings based on their content. For instance, world-wide countries are compared in an internat...