Results 41 to 50 of about 146,074 (263)
, 2010 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
Differential Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 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
Topic modeling in natural language texts
Труды Института системного программирования РАН, 2018 Topic modeling is a method for building a model of a collection of text documents. The model is able to determine topics for each of documents. Shifting from term space to space of extracted topics helps resolving synonymy and polysemy of terms. Besides,
Anton Korshunov, Andrey Gomzin
doaj +1 more source
The World of Topic Modeling in R
Medien & Kommunikationswissenschaft, 2022 This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the
Gregor Wiedemann
doaj +1 more source
On-line Evolutionary Sentiment Topic Analysis Modeling
International Journal of Computational Intelligence Systems, 2018 As the rapid booming of reviews, a valid sentiment analysis model will significantly boost the review recommendation system’s capability, and present more constructive information for consumers.
YongHeng Chen +3 more
doaj +1 more source
Mining Social Entrepreneurship Strategies Using Topic Modeling. [PDF]
PLoS ONE, 2016 Despite the burgeoning research on social entrepreneurship (SE), SE strategies remain poorly understood. Drawing on extant research on the social activism and social change, empowerment and SE models, we explore, classify and validate the strategies used
Yanto Chandra +2 more
doaj +1 more source
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
IEEE Access, 2021 In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Alexander Karlsson +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Systematic Literature Review of Topic Labeling
IEEE AccessThe rapid growth of textual data on the web has led researchers to develop methods in Natural Language Processing (NLP) to process, understand, and identify topics.
Salma Mekaoui +3 more
doaj +1 more source
Neurocomputing, 2023 Nonnegative matrix factorization (NMF) based topic modeling methods do not rely on model- or data-assumptions much. However, they are usually formulated as difficult optimization problems, which may suffer from bad local minima and high computational complexity.
Jianyu Wang, Xiao-Lei Zhang 0001
openaire +2 more sources