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Using Topic Modeling to Improve Prediction of Neuroticism and Depression in College Students
Neuroticism Depression College Students
2015/9/2
We investigate the value-add of topic modeling in text analysis for depression, and for neuroticism as a stronglyassociated personality measure. Using Pennebaker’s Linguistic Inquiry and Word Count (L...
Sometimes Average is Best:The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling
Sometimes Average is Best Averaging for Prediction MCMC Inference Topic Modeling
2015/9/2
Markov chain Monte Carlo (MCMC) approximates the posterior distribution of latent variable models bygenerating many samples and averaging over them. In practice, however, itis often more convenient to...
Beyond LDA:Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
Beyond LDA Exploring Supervised Topic Modeling Depression-Related Language Twitter
2015/9/2
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...