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Introduction: Is it a One Big Habitus? [PDF]
, 2022 This chapter presents an introductory study of the book. The chapter offers a brief introduction to the existing literature on women and leadership in public relations, the rationale for the book and then an ‘empirical’ reading of chapters.
Topic, M
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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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A Study of Methods of Topic Modeling [PDF]
, 2022 openImplementazione modello LDA e tecniche di data visualizationImplementation of the LDA model and data visualization ...
URBAN, SEBASTIANO
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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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topic-modeling-tool-FR: Working prototype
, 2015 Fork of topic-modeling-tool with hardcoded --token-regex option.
Simon Hengchen
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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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CoRR, 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 ...
Avrim Blum, Nika Haghtalab
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Hybrid Method for Short Text Topic Modeling
, 2023 The rise in social media’s popularity has led to a significant increase in user-generated content across various topics. Extracting information from these data can be valuable for different domains, however, due to the nature of the vast volume it is not
Chen, J, Stantic, B
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