Results 21 to 30 of about 187,791 (308)
Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
doaj +1 more source
Data availability in articles published in Epidemiologia e Serviços de Saúde: a cross-sectional study, 2025 [PDF]
Objective: To assess the frequency and factors associated with data sharing in articles published in Epidemiologia e Serviços de Saúde. Methods: A cross-sectional study was conducted based on articles published in 2025 in the journal.
Taís Freire Galvão +1 more
doaj +4 more sources
Cancer care is complex and exists within the broader healthcare system. The CanIMPACT team sought to enhance primary cancer care capacity and improve integration between primary and cancer specialist care, focusing on breast cancer.
Patti Ann Groome +7 more
doaj +1 more source
Quantifying the Visual Concreteness of Words and Topics in Multimodal Datasets [PDF]
NAACL HLT 2018, 14 pages, 6 figures, data available at http://www.cs.cornell.edu/~jhessel/concreteness/concreteness ...
Jack Hessel, David M. Mimno, Lillian Lee
openaire +2 more sources
ClimaText: A Dataset for Climate Change Topic Detection
Accepted for the Tackling Climate Change with Machine Learning Workshop at NeurIPS ...
Varini, Francesco +3 more
openaire +3 more sources
Scientific Dataset Discovery via Topic-level Recommendation
Data intensive research requires the support of appropriate datasets. However, it is often time-consuming to discover usable datasets matching a specific research topic. We formulate the dataset discovery problem on an attributed heterogeneous graph, which is composed of paper-paper citation, paper-dataset citation, and also paper content.
Basmah Altaf +2 more
openaire +2 more sources
News Topic Detection Based on Capsule Semantic Graph
Most news topic detection methods use word-based methods, which easily ignore the relationship among words and have semantic sparsity, resulting in low topic detection accuracy.
Shuang Yang, Yan Tang
doaj +1 more source
R-LDA: Profiling RDF Datasets Using Knowledge-Based Topic Modeling [PDF]
Recently, Linked Open Data (LOD) has experienced an exponential growth via publishing huge volume of datasets on the Web. This vast amount of information needs to be searched, queried, and interlinked easier than before.
Arabnia H. R. +17 more
core +1 more source
A Novel Hierarchical Topic Model for Horizontal Topic Expansion With Observed Label Information
Hierarchical topic models, such as hierarchical Latent Dirichlet Allocation (hLDA)and its variations, can organize topics into a hierarchy automatically.
Xi Zou +4 more
doaj +1 more source
A latent topic‐aware network for dense video captioning
Multiple events in a long untrimmed video possess the characteristics of similarity and continuity. These characteristics can be considered as a kind of topic semantic information, which probably behaves as same sports, similar scenes, same objects etc ...
Tao Xu +3 more
doaj +1 more source

