Results 61 to 70 of about 73,362 (205)

Twitter trends in #Parasitology determined by text mining and topic modelling. [PDF]

Curr Res Parasitol Vector Borne Dis, 2023
Ellis JT, Reichel MP.
europepmc   +1 more source

Tree-Structured Neural Topic Model [PDF]

, 2020
Masaru Isonuma, Junichiro Mori, Danushka Bollegala, Ichiro Sakata   +3 more
openalex   +1 more source

Kernel Topic Models

, 2011
Latent Dirichlet Allocation models discrete data as a mixture of discrete distributions, using Dirichlet beliefs over the mixture weights. We study a variation of this concept, in which the documents' mixture weight beliefs are replaced with squashed Gaussian distributions.
Hennig, P., Stern, D., Herbich, R., Graepel, T.   +3 more
openaire   +3 more sources

Authors profiling in Corsican autonomist press during the interwar period. Stylometric analysis and topic modeling on "A Muvra"

, 2023
Vincent Sarbach-Pulicani
openalex   +1 more source

Ideologies in Geospatial Futurism: A Computational and Critical Discourse Inquiry Into the ArcGIS and ESRI-Blogs

Media and Communication
Geographic information systems (GIS) are ubiquitous building blocks of geosurveillance environments embedded in everyday social practices. This article builds on the literature on geomedia, the criticisms of GIS, and communicative spaces, to delve into ...
Helena Atteneder, Joan Ramon Rodriguez-Amat   +1 more
doaj   +1 more source

Syntactic Topic Models

, 2010
The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Boyd-Graber, Jordan, Blei, David M.
openaire   +2 more sources

It Matters to the Viewer: Social Reviews of Books Adapted for Film

Digital Studies
On the social reviewing platform Goodreads, reviewers simultaneously assess both book and film when reviewing books with a film adaptation. Using computational methods, we analyze 151,100 Goodreads book reviews about adapted titles and find that the ...
David Mimno, Matthew Wilkens, Rosamond Thalken   +2 more
doaj   +2 more sources

Topic Modeling [PDF]

Osong Public Health and Research Perspectives, 2019
openaire   +3 more sources

Conceptualization Topic Modeling

, 2017
Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarchical Bayesian structure, i.e. each document is modeled as a probability distribution over topics, and each topic is a probability distribution over words.
Tang, Yi-Kun, Mao, Xian-Ling, Huang, Heyan, Wen, Guihua   +3 more
openaire   +2 more sources

Short text topic modelling using local and global word-context semantic correlation. [PDF]

Multimed Tools Appl, 2023
Kinariwala S, Deshmukh S.
europepmc   +1 more source