Results 31 to 40 of about 637,325 (290)
Sensors, 2023 Recommender systems are becoming an integral part of routine life, as they are extensively used in daily decision-making processes such as online shopping for products or services, job references, matchmaking for marriage purposes, and many others ...
Balraj Kumar +4 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.
Wang, JianYu, Zhang, Xiao-Lei
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Continuous Semi-Supervised Nonnegative Matrix Factorization
Algorithms, 2023 Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank. In certain
Michael R. Lindstrom +4 more
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Modelling Grocery Retail Topic Distributions: Evaluation, Interpretability and Stability [PDF]
, 2020 Understanding the shopping motivations behind market baskets has high commercial value in the grocery retail industry. Analyzing shopping transactions demands techniques that can cope with the volume and dimensionality of grocery transactional data while
Manolopoulou, Ioanna +4 more
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Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network [PDF]
, 2016 Bibliographic analysis considers the author's research areas, the citation network and the paper content among other things. In this paper, we combine these three in a topic model that produces a bibliographic model of authors, topics and documents ...
Buntine, Wray, Lim, Kar Wai
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An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
Big Data and Cognitive Computing, 2021 The outbreak of the COVID-19 led to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information ...
Ninghan Chen, Zhiqiang Zhong, Jun Pang
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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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Topic Modelling: Going beyond Token Outputs
Big Data and Cognitive ComputingTopic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of topics consisting of isolated tokens that often co-occur in such documents.
Lowri Williams +3 more
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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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