A study on dual topic models and bayesian topic model inference

• Main Author: Rugeles, Daniel
• Other Authors: Gao CONG
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Mathematics of computing::Probability and statistics
• Online Access: https://hdl.handle.net/10356/145117
• Institution: Nanyang Technological University

Topic models have been shown to be a powerful tool for organizing large collections of unstructured data, including text, images and location data. The essence of the topic model is to discover hidden clusters that summarize the relationship between two discrete random variables, such as documents a...