Scalable and Efficient Probabilistic Topic Model Inference for Textual Data.
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2018.
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| Edition: | 1st ed. |
| Series: | Linköping Studies in Arts and Sciences Series
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| 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.


