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Redundancy-aware topic modeling for patient record notes. [PDF]
PLoS ONE, 2014 The clinical notes in a given patient record contain much redundancy, in large part due to clinicians' documentation habit of copying from previous notes in the record and pasting into a new note.
Raphael Cohen +3 more
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Scientific ReportsTextNetTopics (Yousef et al. in Front Genet 13:893378, 2022. https://doi.org/10.3389/fgene.2022.893378 ) is a recently developed approach that performs text classification-based topics (a topic is a group of terms or words) extracted from a Latent ...
Daniel Voskergian +2 more
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, 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
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, 2020 This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are represented as players and topics as strategies that the players select. The strategies of each player are modelled with a probability distribution guided by a utility function that the players try to ...
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ConTopic: Human-in-the-loop neural topic modeling with constraint loss for topic quality improvement
Visual InformaticsExisting neural topic models often produce semantically ambiguous or low-quality topics, limiting their effectiveness in real-world applications. To address this, we propose ConTopic, a human-in-the-loop framework that integrates user-defined “must-link”
Qiuchen Fan, Yue Shen, Jie Li
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Research Community Mining via Generalized Topic Modeling [PDF]
Mehran University Research Journal of Engineering and Technology, 2012 Mining research community on the basis of hidden relationships present between its entities is important from academic recommendation point of view. Previous approaches discovered research community by using network connectivity based distance measures
Ali Daud +2 more
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Automatic Seed Word Selection for Topic Modeling
IEEE AccessTopic modeling is widely used to uncover latent semantic topics from a corpus. However, topic models often struggle to identify minor topics due to their tendency to prioritize dominant patterns in the data. They are also hindered by polysemous words and
Dahyun Jeong +3 more
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CoRRWhile topic modeling in English has become a prevalent and well-explored area, venturing into topic modeling for Indic languages remains relatively rare. The limited availability of resources, diverse linguistic structures, and unique challenges posed by Indic languages contribute to the scarcity of research and applications in this domain. Despite the
Sanket Shinde, Raviraj Joshi
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Huli yanjiuObjectiveBy using the latent Dirichlet allocation(LDA) and dynamic topic modeling(DTM) analysis methods,to clarify the themes of symptoms experienced by patients with severe burns during the perioperative period and their dynamic evolution process,so as ...
ZHANG Xiaodi +4 more
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A Gentle Introduction to Topic Modeling Using Python
Theological Librarianship, 2018 Topic modeling is a data mining method which can be used to understand and categorize large corpora of data; as such, it is a tool which theological librarians can use in their professional workflows and scholarly practices.
Micah D. Saxton
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