Results 71 to 80 of about 3,238,976 (181)
Automatic Text Summarization Approaches to Speed up Topic Model Learning Process
, 2016 The number of documents available into Internet moves each day up. For this reason, processing this amount of information effectively and expressibly becomes a major concern for companies and scientists.
Dufour, Richard +4 more
core
Visualizing Topic Uncertainty in Topic Modelling
, 2023 Word clouds became a standard tool for presenting results of natural language processing methods such as topic modelling. They exhibit most important words, where word size is often chosen proportional to the relevance of words within a topic. In the latent Dirichlet allocation (LDA) model, word clouds are graphical presentations of a vector of weights
openaire +3 more sources
A Hybrid Approach to Recognising Activities of Daily Living from Object Use in the Home Environment
Informatics, 2018 Accurate recognition of Activities of Daily Living (ADL) plays an important role in providing assistance and support to the elderly and cognitively impaired.
Isibor Kennedy Ihianle +3 more
doaj +1 more source
Joint Model Feature Regression and Topic Learning for Global Citation Recommendation
IEEE Access, 2019 Citation recommendation has gained increasing attention in recent years. In practice, researchers usually prefer to cite the most topic-relevant articles.
Tao Dai +5 more
doaj +1 more source
A Biterm Topic Model for Sparse Mutation Data. [PDF]
Cancers (Basel), 2023 Sason I +3 more
europepmc +1 more source
Using a topic model to map and analyze a large curriculum. [PDF]
PLoS One, 2023 Takizawa PA.
europepmc +1 more source
IEEE AccessExploring the identification of peer circles (or communities) with shared attributes in educational settings provides valuable insights for categorizing instructors’ teaching styles and methodologies.
Yuhe Zhu
doaj +1 more source
Using an explicit query and a topic model for scientific article recommendation. [PDF]
Educ Inf Technol (Dordr), 2023 Smail B, Aliane H, Abdeldjalil O.
europepmc +1 more source
Dirichlet belief networks for topic structure learning
, 2018 Recently, considerable research effort has been devoted to developing deep architectures for topic models to learn topic structures. Although several deep models have been proposed to learn better topic proportions of documents, how to leverage the ...
Buntine, Wray +3 more
core
<i>Turtling</i>: a time-aware neural topic model on NIH grant data. [PDF]
Bioinform Adv, 2023 Zhang R +5 more
europepmc +1 more source