A study on dual topic models and bayesian topic model inference

• المؤلف الرئيسي: Rugeles, Daniel
• مؤلفون آخرون: Gao CONG
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Computer science and engineering::Mathematics of computing::Probability and statistics
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145117

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...