Results 31 to 40 of about 146,074 (263)
CoRR, 2010 The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Jordan L. Boyd-Graber, David M. Blei
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Polylingual topic models [PDF]
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2 - EMNLP '09, 2009 Topic models are a useful tool for analyzing large text collections, but have previously been applied in only monolingual, or at most bilingual, contexts. Meanwhile, massive collections of interlinked documents in dozens of languages, such as Wikipedia, are now widely available, calling for tools that can characterize content in many languages.
Mimno, David +4 more
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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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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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On a Topic Model for Sentences
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 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 sentences, contains much information which is generally lost with these models.
Georgios Balikas +2 more
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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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Exploring Gamification Research Trends Using Topic Modeling
IEEE Access, 2023 Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification.
Ahmet Ayaz +6 more
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Towards Topic Modeling Swedish Housing Policies
Digital Humanities in the Nordic and Baltic Countries Publications, 2018 Topic modeling is an unsupervised method for finding topics in large collections of data. However, in most studies which employ topic modeling there is a lack of using linguistic information when preprocessing the data.
Anna Lindahl, Love Börjeson
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Topic Modeling for Amharic User Generated Texts
Information, 2021 Topic Modeling is a statistical process, which derives the latent themes from extensive collections of text. Three approaches to topic modeling exist, namely, unsupervised, semi-supervised and supervised. In this work, we develop a supervised topic model
Girma Neshir +2 more
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