Results 51 to 60 of about 3,030,763 (202)
Differential Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 In applications we may want to compare different document collections: they could have shared content but also different and unique aspects in particular collections. This task has been called comparative text mining or cross-collection modeling.
Changyou Chen +4 more
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Royal Society Open Science, 2022 This paper examines the relationship between events reported in international news via categorical discourses and Bitcoin price. Natural language processing was adopted in this study to model data-driven discourses in the crypto-economy, specifically the
Kelly Ann Coulter
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Quality of life in rural areas: A topic for the Rural Development policy?
Bulletin of Geography. Socio-Economic Series, 2014 Contemporary transformations of rural areas involve changes in land uses, economic perspectives, connectivity, livelihoods, but also in lifestyles, whereupon a traditional view of ‘the rural’ and, consequently, of ‘rural development’ no longer holds ...
Brauer René, Dymitrow Mirek
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Smart literature review: a practical topic modelling approach to exploratory literature review
Journal of Big Data, 2019 Manual exploratory literature reviews should be a thing of the past, as technology and development of machine learning methods have matured. The learning curve for using machine learning methods is rapidly declining, enabling new possibilities for all ...
Claus Boye Asmussen, Charles Møller
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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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Data-Assisted Persona Construction Using Social Media Data
Big Data and Cognitive Computing, 2020 User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations.
Dimitris Spiliotopoulos +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.
Jianyu Wang, Xiao-Lei Zhang 0001
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Kartierung der europäischen Bildungsforschungslandschaft durch Topic Modelling
MedienPädagogik: Zeitschrift für Theorie und Praxis der MedienbildungLatent-Dirichlet-Allocation (LDA) ist eine Machine-Learning-Methode zur Themenmodellierung (engl. Topic Modelling) grosser Textkorpora (d. h. zur Bestimmung latenter Begriffs- und Dokumentencluster, sog. Themen).
Alexander Christ +2 more
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Social Sciences, 2020 In this paper, we sought to model and characterize hate speech against immigrants on Twitter in Spain around the appearance of the far-right party Vox.
Carlos Arcila Calderón +2 more
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Health Research Policy and SystemsObjective This study aims to analyse the content of internet medical policies, grasp the inherent laws of the development of internet medical policies and provide references for improving the policy system. Methods On the basis of web crawler technology,
Guoping Wu +6 more
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