Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.

• Superior document: Linköping Studies in Arts and Sciences Series ; v.743
• Author: Magnusson, Måns.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2018.; {copy}2018.
• Year of Publication: 2018
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Arts and Sciences Series
• Physical Description: 1 online resource (73 pages)

Table of Contents

Intro -- ABSTRACT -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- Introduction -- Background -- Motivation -- Research questions -- Thesis outline -- Bayesian inference -- Bayesian epistemology and confirmation theory -- Bayesian statistical inference -- Examples of probabilistic models -- Simulation-based statistical inference -- Probabilistic latent semantic modeling of text -- Modeling semantics -- Probabilistic modeling of textual data -- Latent semantic modeling -- Probabilistic topic models -- Practical curation of corpora and the implications for inference -- Research Questions and Summary of Contributions -- Research questions -- Summary of Contributions -- Extensions and future research -- Bibliography.