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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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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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Topic modeling in natural language texts
Труды Института системного программирования РАН, 2018 Topic modeling is a method for building a model of a collection of text documents. The model is able to determine topics for each of documents. Shifting from term space to space of extracted topics helps resolving synonymy and polysemy of terms. Besides,
Anton Korshunov, Andrey Gomzin
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The World of Topic Modeling in R
Medien & Kommunikationswissenschaft, 2022 This software review provides a systematic overview of R packages for topic modeling. These packages facilitate the application of computational text analysis to conduct research compatible with a wide variety of methodological frameworks employed in the
Gregor Wiedemann
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On-line Evolutionary Sentiment Topic Analysis Modeling
International Journal of Computational Intelligence Systems, 2018 As the rapid booming of reviews, a valid sentiment analysis model will significantly boost the review recommendation system’s capability, and present more constructive information for consumers.
YongHeng Chen +3 more
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Mining Social Entrepreneurship Strategies Using Topic Modeling. [PDF]
PLoS ONE, 2016 Despite the burgeoning research on social entrepreneurship (SE), SE strategies remain poorly understood. Drawing on extant research on the social activism and social change, empowerment and SE models, we explore, classify and validate the strategies used
Yanto Chandra +2 more
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Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
IEEE Access, 2021 In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Alexander Karlsson +2 more
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