Results 31 to 40 of about 63,472 (294)
PLoS ONE, 2022 Although there are several articles that have carried out a systematic literature review of the analytical hierarchy process (AHP), many of them work with a limited number of analyzed documents.
Peter Madzík, Lukáš Falát
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Acta Universitatis Sapientiae: Economics and Business, 2022 This article develops a baseline on how to analyse the statements of monetary policy from Lesotho’s Central Bank using a method of topic classification that utilizes a machine learning algorithm known as Latent Dirichlet Allocation.
Damane Moeti
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Public Opinion Mining on Construction Health and Safety: Latent Dirichlet Allocation Approach
Buildings, 2023 The construction industry has been experiencing many occupational accidents as working on construction sites is dangerous. To reduce the likelihood of accidents, construction companies share the latest construction health and safety news and information ...
Liyun Zeng +3 more
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Latent IBP Compound Dirichlet Allocation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 We introduce the four-parameter IBP compound Dirichlet process (ICDP), a stochastic process that generates sparse non-negative vectors with potentially an unbounded number of entries. If we repeatedly sample from the ICDP we can generate sparse matrices with an infinite number of columns and power-law characteristics.
Cedric, Archambeau +2 more
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Text Categorization Based on Topic Model [PDF]
International Journal of Computational Intelligence Systems, 2009 In the text literature, many topic models were proposed to represent documents and words as topics or latent topics in order to process text effectively and accurately.
Shibin Zhou, Kan Li, Yushu Liu
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Pengamatan Tren Ulasan Hotel Menggunakan Pemodelan Topik Berbasis Latent Dirichlet Allocation
Journal of Applied Informatics and Computing, 2022 Ketepatan dalam mengekstrak dan meringkas ribuan ulasan ke dalam beberapa topik menjadi kunci dalam pelaksanaan pengolahan data dan informasi lebih lanjut.
Suparyati Suparyati +2 more
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Crowd labeling latent Dirichlet allocation [PDF]
Knowledge and Information Systems, 2017 Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for gathering such labels from workers whose suggestions are not always accurate.
Luca Pion-Tonachini +2 more
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Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
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IEEE Access, 2022 Smart cities are a current worldwide topic requiring much scientific investigation. This research instigates the necessity of an organized review to a heedful insight of the research trends and patterns prevailing in this domain. The string is formulated
Chetan Sharma +5 more
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Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya.
PLoS ONE, 2021 Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully ...
Leacky Muchene, Wende Safari
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