Topic Modeling

Last updated on Jul 19, 2021
Directed acyclic graph of the SLDAX model.
Directed acyclic graph of the SLDAX model.
topic modeling text mining
Kenneth Tyler Wilcox
Kenneth Tyler Wilcox
Postdoctoral Associate

My research interests include Bayesian statistics, multilevel modeling, integrative data analysis, meta-analysis, topic modeling, mixture modeling, statistical programming, and cognition and clinical psychology.

Publications

A constructed response model
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The use of text-based responses to improve our understanding and prediction of suicide risk
Objective: Text-based responses may provide significant contributions to suicide risk prediction, yet research including text data is …
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The use of text-based responses to improve our understanding and prediction of suicide risk
Supervised latent Dirichlet allocation with covariates: A Bayesian structural and measurement model of text and covariates
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular …
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Bayesian supervised topic modeling with covariates
Directed acyclic graph of the SLDAX model.
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Bayesian hidden topic Markov models
Recent developments in topic modeling for text corpora have incorporated Markov models in the latent space to better learn contextual …
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Bayesian hidden topic Markov models

Events

Integrating text into psychological and education research: Latent variable modeling and applications
Invited Talk
Oct 21, 2021 — University of California, Davis
Project
Integrating text into psychological and education research: Latent variable modeling and applications
Invited Talk
Sep 13, 2021 — Vanderbilt University
Project Slides
A constructed response model
Oct 7, 2020 — Oct 10, 2020 Virtual Conference
Project
A joint modeling framework for item response and topic models
Topic modeling has become a widely used approach when analyzing constructed responses in both educational and psychological research. …
Jul 13, 2020 — Jul 17, 2020 University of Maryland
Project
Combining topic modeling and regression: Supervised topic modeling with covariates
Spotlight Talk
Jul 13, 2020 — Jul 17, 2020 University of Maryland
Project Slides
Evaluation of the unsupervised latent Dirichlet allocation model through simulation
Topic modeling using latent Dirichlet allocation (LDA) has been increasingly endorsed as a popular procedure in text-mining. …
May 26, 2020 — May 27, 2020 University of Notre Dame
Project
Evaluation of the unsupervised latent Dirichlet allocation model through simulation
Modeling relationships from themes in text and covariates with an outcome: A Bayesian supervised topic model with covariates
While text analysis has long been of interest in psychology, quantitative approaches tend to rely on predefined dictionaries of words …
May 26, 2020 — May 27, 2020 University of Notre Dame
Project Slides
A nuanced examination of the relationship between social connectedness and suicidal ideation
In B. A. Ammerman & R. Jacobucci (Chairs), Utilizing text mining in clinical research: Novel applications for improving the prediction of psychological distress [Symposium]
Nov 21, 2019 — Nov 24, 2019
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Evaluating personal narratives of interpersonal relationships via text mining to predict nonsuicidal self-injury
In B. A. Ammerman & R. Jacobucci (Chairs), Utilizing text mining in clinical research: Novel applications for improving the prediction of psychological distress [Symposium]
Nov 21, 2019 — Nov 24, 2019
PDF Project
Bayesian supervised topic modeling with covariates
The temporal and financial resources needed to qualitatively analyze textual data can be prohibitive. However, a growing collection of quantitative modeling approaches for text offer potential alternatives. One latent variable approach, topic modeling, assumes that text can be summarized as a mixture of latent categories (i.
Oct 9, 2019 — Oct 12, 2019
Project
A Bayesian hidden topic Markov model for latent linguistic structure
Topic models are a probabilistic approach to extracting structural information from discrete data and have been used with great success …
Jul 9, 2018 — Jul 13, 2018 Columbia University
PDF Project
A Bayesian hidden topic Markov model for latent linguistic structure
Text mining with a Bayesian hidden topic Markov model
Topic models are a state-of-the-art probabilistic approach to extracting structural information about discrete data and have been used …
Apr 21, 2017 — Apr 23, 2017
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Text mining with a Bayesian hidden topic Markov model