Results 41 to 50 of about 3,253,410 (280)
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks [PDF]
, 2019 We propose a way to model topic-based implicit interactions among Twitter users. Our model relies on grouping Twitter hashtags, in a given context, into themes/topics and then using the multiplex network model to construct a thematic multiplex where each
Hanteer, Obaida, Rossi, Luca
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On a Topic Model for Sentences
, 2016 Probabilistic topic models are generative models that describe the content of documents by discovering the latent topics underlying them. However, the structure of the textual input, and for instance the grouping of words in coherent text spans such as ...
Amini, Massih-Reza +2 more
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Inferring Inter-City Trip Purpose From the Perspective of the Group
IEEE Access, 2021 Although trip purpose inference based on passively collected data has long been investigated, less attention has been paid to inter-city trips. The reason is, except using ticket sales data, only limited trips can be extracted due to the lower frequency ...
Jianpei Qian +3 more
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Stochastic Divergence Minimization for Biterm Topic Model
, 2017 As the emergence and the thriving development of social networks, a huge number of short texts are accumulated and need to be processed. Inferring latent topics of collected short texts is useful for understanding its hidden structure and predicting new ...
Cui, Zhenghang +2 more
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Modeling Topic and Role Information in Meetings using the Hierarchical Dirichlet Process [PDF]
, 2008 . In this paper, we address the modeling of topic and role information in multiparty meetings, via a nonparametric Bayesian model called the hierarchical Dirichlet process.
Huang, Songfang, Renals, Steve
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Correction: A correlated topic model of Science
, 2007 Correction to Annals of Applied Statistics 1 (2007) 17--35 [doi:10.1214/07-AOAS114]Comment: Published in at http://dx.doi.org/10.1214/07-AOAS136 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical ...
Blei, David M., Lafferty, John D.
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Discriminative Relational Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Chen, Ning +3 more
openaire +3 more sources
New topic detection in microblogs and topic model evaluation using topical alignment [PDF]
, 2014 textThis thesis deals with topic model evaluation and new topic detection in microblogs. Microblogs are short and thus may not carry any contextual clues.
Rajani, Nazneen Fatema
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Applied Sciences, 2022 The personalized recommendation system is a useful tool adopted by e-retailers to help consumers to find items in line with their preferences. Existing methods focus on learning user preferences from a user-item matrix or online reviews after purchasing,
Xin Huang, Xiaojuan Liu
doaj +1 more source