Results 11 to 20 of about 7,298 (159)
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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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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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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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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Discovering Tonal Profiles with Latent Dirichlet Allocation
Music & Science, 2021 Music analysis, in particular harmonic analysis, is concerned with the way pitches are organized in pieces of music, and a range of empirical applications have been developed, for example, for chord recognition or key finding. Naturally, these approaches
Fabian C. Moss, Martin Rohrmeier
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Teacher professional learning community and interdisciplinary collaborative teaching path under the informationization basic education model [PDF]
Yugoslav Journal of Operations ResearchThe construction of a learning community cannot be separated from the participation of information technology. The current teacher learning community has problems of low interaction efficiency and insufficient enthusiasm for group cooperative teaching ...
Li Gen, Jamil Hazri Bin
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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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Latent Dirichlet Allocation for Uncovering Fraud Cases on Twitter
Jurnal Riset Informatika, 2023 Fraud is a phenomenon that continues to exist in society with a modus operandi that continues to evolve with the times. The mode of operation of fraud is continually evolving with technological advancements, globalization, and consumer behavior shifts ...
Sallu Muharomah +1 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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Sequential latent Dirichlet allocation
Knowledge and Information Systems, 2011 Understanding how topics within a document evolve over the structure of the document is an interesting and potentially important problem in exploratory and predictive text analytics. In this article, we address this problem by presenting a novel variant of latent Dirichlet allocation (LDA): Sequential LDA (SeqLDA).
Lan Du 0002 +3 more
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