Results 101 to 110 of about 1,143,739 (216)
Topic analysis using a finite mixture model [PDF]
, 2000 Hang Li, Kenji Yamanishi
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A social and news media benchmark dataset for topic modeling
Data in Brief, 2022 Topic modeling is an active research area with several unanswered questions. The focus of recent research in this area is on the use of a vector embedding representation of the input text with both generative and evolutionary topic modeling techniques ...
Samuel Miles +4 more
doaj
, 2016 Recently there has been significant activity in developing algorithms with provable guarantees for topic modeling. In standard topic models, a topic (such as sports, business, or politics) is viewed as a probability distribution $\vec a_i$ over words, and a document is generated by first selecting a mixture $\vec w$ over topics, and then generating ...
Blum, Avrim, Haghtalab, Nika
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Exploring Topic Coherence With PCC-LDA and BERT for Contextual Word Generation
IEEE AccessIn the field of natural language processing (NLP), topic modeling and word generation are crucial for comprehending and producing texts that resemble human languages.
Sandeep Kumar Rachamadugu +3 more
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Language-specific models in multilingual topic tracking [PDF]
, 2004 Leah S. Larkey +3 more
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Topics in statistical mechanics: the n-friendly walker model and benzenoid systems [PDF]
, 2004 M. Vöge
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Embedded Topic Models Enhanced by Wikification [PDF]
arXivTopic modeling analyzes a collection of documents to learn meaningful patterns of words. However, previous topic models consider only the spelling of words and do not take into consideration the homography of words. In this study, we incorporate the Wikipedia knowledge into a neural topic model to make it aware of named entities. We evaluate our method
arxiv
, 2011 Latent Dirichlet Allocation models discrete data as a mixture of discrete distributions, using Dirichlet beliefs over the mixture weights. We study a variation of this concept, in which the documents' mixture weight beliefs are replaced with squashed Gaussian distributions.
Hennig, Philipp +3 more
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Incorporating topic information into sentiment analysis models [PDF]
, 2004 Tony Mullen, Nigel Collier
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Topic based language models for ad hoc information retrieval [PDF]
, 2005 Leif Azzopardi +2 more
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