Results 51 to 60 of about 810,432 (208)
Interactive Topic Model for the Signs Journal: Source Code
The browser code was used to model all of the articles from the Signs journal (1975-2014), resulting in a 70-topic model. Each article is described as a mixture of verbal patterns or topics.
core +1 more source
Global Analysis of COVID-19 Clinical Trials to Reflect Vaccine Progression
Objectives: The aim of this study was to analyze clinical trials using topic modelling to identify emerging vaccine progression topics around the globe.Methods: The most important computational problem for the modeling of topics is using the observed ...
Muthusami Rathinasamy +1 more
doaj +1 more source
Interactive Topic Model for the Signs Journal: Data
In this study, the corpus that was modeled included all of the articles from the Signs journal (1975-2014), resulting in a 70-topic model. Each article is described as a mixture of verbal patterns or topics. Every topic is a family of words that tend to
core +1 more source
A topic modeling algorithm for microblogs [PDF]
openI topic model nascono come strumenti per ottenere una breve descrizione dei documenti di una collezione e allo stesso tempo preservare le relazioni statistiche essenziali tra le parole contenute nei testi; le rappresentazioni compatte di documenti ...
TOTO, GIOVANNI
core
Hierarchical neural topic modeling with manifold regularization
Topic models have been widely used for learning the latent explainable representation of documents, but most of the existing approaches discover topics in a flat structure.
Chen, Ziye +6 more
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We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive an approximate maximum-likelihood procedure for parameter estimation, which relies on variational methods to handle intractable posterior expectations.
David M. Blei, Jon D. McAuliffe
openaire +3 more sources
Inferring Inter-City Trip Purpose From the Perspective of the Group
Although trip purpose inference based on passively collected data has long been investigated, less attention has been paid to inter-city trips. The reason is, except using ticket sales data, only limited trips can be extracted due to the lower frequency ...
Jianpei Qian +3 more
doaj +1 more source
Differential Topic Models [PDF]
In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling.
Changyou Chen +4 more
openaire +3 more sources
Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process
In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Renals, Steve, Huang, Songfang
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Topic-Aware Causal Intervention for Counterfactual Detection
Counterfactual statements, which describe events that did not or cannot take place, are beneficial to numerous NLP applications. Hence, we consider the problem of counterfactual detection (CFD) and seek to enhance the CFD models.
Cong-Duy Nguyen (17075321) +4 more
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