text mining

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
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Bayesian supervised topic modeling with covariates
Directed acyclic graph of the SLDAX model.
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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
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A Bayesian hidden topic Markov model for latent linguistic structure
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
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
Topic Modeling
Measurement and structural latent variable models for text data.