Results 41 to 50 of about 3,030,763 (202)
Uncovering dynamic textual topics that explain crime
Royal Society Open Science, 2021 Crime analysis/mapping techniques have been developed and applied for crime detection and prevention to predict where and when crime occurs, leveraging historical crime records over a spatial area and covariates for the spatial domain.
Seppo Virtanen
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A Topic Modelling Analysis of Living Labs Research
Technology Innovation Management Review, 2018 This study applies topic modelling analysis on a corpus of 86 publications in the Technology Innovation Management Review (TIM Review) to understand how the phenomenon of living labs has been approached in the recent innovation management literature ...
Mika Westerlund +2 more
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Land, 2023 As digitalization increasingly gains attention in the agriculture sector, many African youths are seizing the opportunity provided by digital technologies to engage in agriculture.
Matthew Ayamga +3 more
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CoRR, 2010 The syntactic topic model (STM) is a Bayesian nonparametric model of language that discovers latent distributions of words (topics) that are both semantically and syntactically coherent. The STM models dependency parsed corpora where sentences are grouped into documents.
Jordan L. Boyd-Graber, David M. Blei
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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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The statistics of topic modelling. [PDF]
, 2015 This research project aims to provide a clear and concise guide to latent dirichlet allocation which is a form of topic modelling. The aim is to help researchers who do not have a strong background in mathematics or statistics to feel comfortable with ...
Abey, Rebecca
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A Topic is Not a Theme: Towards a Contextualised Approach to Topic Modelling
, 2022 There is a disconnect between an understanding of the processes of machine learning at a technical level and the societal impact of these technologies. This thesis considers the robustness of topic models.
CAITLIN HELEN DOOGAN (13025238)
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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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Coupling topic modelling in opinion mining for social media analysis
, 2017 Many of social media platforms such as Facebook and Twitter make it easy for everyone to share their thoughts on literally anything. Topic and opinion detection in social media facilitates the identification of emerging societal trends, analysis of ...
Xujuan Zhou +7 more
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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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