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Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling
Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...
Land Use detection with cell phone data using topic models: Case Santiago, Chile
(Elsevier, 2017)
Today we have the opportunity without precedents to analyze human land use or mobility behavior in a city, country or even the globe. Some studies have analyzed existing data generated daily by mobile networks, mostly using ...
"Search and classify topics in a corpus of text using the latent dirichlet allocation model"
(Institute of Advanced Engineering and ScienceID, 2022-11-18)
"This work aims at discovering topics in a text corpus and classifying the most
relevant terms for each of the discovered topics. The process was performed
in four steps: first, document extraction and data processing; ...
Effect of topical application of 5-FU on the corneoscleral limbus of rabbits
(2007-04-01)
• Aim: To observe the effects of topical application of 5-fluorouracil (5-FU) on the rabbits corneal limbus. • Methods: 5-FU was applied topically to the corneoscleral region of rabbits eyes. The animals were sacrificed ...
Effect of topical application of 5-FU on the corneoscleral limbus of rabbits
(2007-04-01)
• Aim: To observe the effects of topical application of 5-fluorouracil (5-FU) on the rabbits corneal limbus. • Methods: 5-FU was applied topically to the corneoscleral region of rabbits eyes. The animals were sacrificed ...
The short-term effects of diammine silver fluoride on tooth sensitivity: A randomized controlled trial
(SAGE Publications, 2011)
Tooth sensitivity is a common clinical problem. This multi-center randomized clinical trial assessed the effectiveness and safety of topical diammine silver fluoride. From two sites (Lima and Cusco, Peru), 126 adults with ...
Topic relevance and diversity in information retrieval from large datasets: A multi-objective evolutionary algorithm approach
(Elsevier Science, 2018-08)
Enabling effective information search is an increasing problem, as technology enhances the ability to publish information rapidly, and large quantities of information are instantly available for retrieval. In this scenario, ...
A study of relevance propagation in large topic ontologies
(John Wiley & Sons Inc, 2013-11)
Topic ontologies or Web Directories consist of large collections of links to websites,arranged by topic in different categories. The structure of these ontologies is typically not at, since there are hierarchical and ...
Modeling and diffusion of news topics in social media: Features and factors of the emergence of news in a twitter informative channel
This study aims to characterize the modeling and diffusion of news topics in social media and determine the factors that influenced them. With Big Data analysis methods, such as topic modeling and sentiment analysis, we ...