Results 31 to 40 of about 73,362 (205)
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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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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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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Discriminative Relational Topic Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Chen, Ning +3 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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ATM: Adversarial-neural Topic Model [PDF]
Information Processing & Management, 2019 Published at the journal Information Processing & ...
Wang, Rui, Zhou, Deyu, He, Yulan
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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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When Topic Models Disagree [PDF]
Proceedings of the 24th International Conference on World Wide Web, 2015 We explore how the unsupervised extraction of topic-related keywords benefits from combining multiple topic models. We show that averaging multiple topic models, inferred from different corpora, leads to more accurate keyphrases than when using a single topic model and other state-of-the-art techniques. The experiments confirm the intuitive idea that a
Sterckx, Lucas +3 more
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