Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.

Bibliographic Details
Main Author: Magnusson, Måns.
Format: eBook
Language:English
Published: Linköping : Linkopings Universitet, 2018.
Edition:1st ed.
Series:Linköping Studies in Arts and Sciences Series
Subjects:
Online Access:Click to View
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.