Results 31 to 40 of about 979,892 (277)
Evaluation of unsupervised static topic models’ emergence detection ability [PDF]
PeerJ Computer ScienceDetecting emerging topics is crucial for understanding research trends, technological advancements, and shifts in public discourse. While unsupervised topic modeling techniques such as Latent Dirichlet allocation (LDA), BERTopic, and CoWords clustering ...
Xue Li +5 more
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The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling
IEEE Access, 2023 In the era of big data and ubiquitous internet connectivity, user feedback data plays a crucial role in product development and improvement. However, extracting valuable insights from the vast pool of unstructured text data found in user feedback ...
Mohammad Hamid Asnawi +3 more
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A Scalable Asynchronous Distributed Algorithm for Topic Modeling [PDF]
, 2014 Learning meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging because of two reasons: First, one needs to deal with a large number of topics (typically in the order of ...
Asuncion A. +5 more
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Marketing Insights from Reviews Using Topic Modeling with BERTopic and Deep Clustering Network
Applied Sciences, 2023 The feedback shared by consumers on e-commerce platforms holds immense value in marketing, as it offers insights into their opinions and preferences, which are readily accessible.
Yusung An, Hayoung Oh, Joosik Lee
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International Journal of Innovative Technology and Exploring Engineering, 2019 In the history of information and technology the knowledge which was generated is stored in the form of digital technology. In present day the search engines will search based on terms and extract the list of similar documents from many topics. In this paper, the proposed Topic Modelling techniques will search based on the group of words from each ...
Paul Thompson, Susan Hunston
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Social Sciences, 2018 The Men’s Rights Activism (MRA) movement and its sub-movement The Red Pill (TRP), has flourished online, offering support and advice to men who feel their masculinity is being challenged by societal shifts.
J. B. Mountford
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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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Topic Modeling: Perspectives From a Literature Review
IEEE Access, 2023 Topic modeling is a Natural Language Processing technique that has gained popularity over the last ten years, with applications in multiple fields of knowledge.
Andres M. Grisales A. +2 more
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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.
Wang, JianYu, Zhang, Xiao-Lei
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Deutsch-japanische Leitmotivstrukturen in digitalisierten Übersetzungskorpora
Textpraxis, 2017 Am Beispiel einer Probestudie zum Topic Modeling japanischer Thomas Mann-Übersetzungen reflektiert das Arbeitspapier Möglichkeiten und Herausforderungen einer digitalen Literaturforschung. Eine sich an Ramsays algorithmic criticism orientierende, de- und
Mueller, Nicole M.
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