Evaluating Topic Modeling for Saudi Newspapers Texts Using LDA: A Computational Linguistics Study
Journal of Umm Al-Qura University for Language Sciences and Literature, 2022 This paper is in the field of natural language processing. It applied unsupervised machine learning approach to identifying the latent topics in Saudi newspapers using one of the most important unsupervised topic modeling algorithms.
Afrah Altamimi
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Urban Public Transportation Perspective in Meta-Analysis Study
Media Komunikasi Teknik Sipil, 2021 Urban public transportation is transportation system developed for the public interest that prioritizes the optimal integration of various resources and infrastructure in order to achieve sustainable city that is guided by green technology.
Sri Sarjana
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Explanation of Retention Measurement Concept in Motor Skills According to Persian Scientific Research Articles: A Quality Content Analysis [PDF]
رشد و یادگیری حرکتی ورزشی, 2020 Retention is one of the important indicators for inference of learning motor skill. There are some disagreements on the retention measurement concept among experts and researchers of the motor learning area. Therefore, the aim of the present study was to
Aliyeh Miri Ardakol +2 more
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Topic detection with recursive consensus clustering and semantic enrichment
Humanities & Social Sciences Communications, 2023 Extracting meaningful information from short texts like tweets has proved to be a challenging task. Literature on topic detection focuses mostly on methods that try to guess the plausible words that describe topics whose number has been decided in ...
Vincenzo De Leo +5 more
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Optimisation towards Latent Dirichlet Allocation: Its Topic Number and Collapsed Gibbs Sampling Inference Process [PDF]
, 2018 Latent Dirichlet Allocation (LDA) is a probability model for grouping hidden topics in documents by the number of predefined topics. If conducted incorrectly, determining the amount of K topics will result in limited word correlation with topics.
Farikhin, Farikhin +2 more
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Estimating Topic Modeling Performance with Sharma–Mittal Entropy
Entropy, 2019 Topic modeling is a popular approach for clustering text documents. However, current tools have a number of unsolved problems such as instability and a lack of criteria for selecting the values of model parameters.
Sergei Koltcov +2 more
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On combinatorial optimisation in analysis of protein-protein interaction and protein folding networks [PDF]
, 2016 : Protein-protein interaction networks and protein folding networks represent prominent research topics at the intersection of bioinformatics and network science.
Chalupa, David
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Analisis topik konten channel YouTube K-pop Indonesia menggunakan Latent Dirichlet Allocation [PDF]
, 2021 The development of digital technology has brought new media, one of which is Youtube, which is now one of the most widely used applications for internet users in the world.
Nikmah, Najla Lailin +3 more
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Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis
JMIR Human Factors, 2022 BackgroundMental disorders (MDs) impose heavy burdens on health care (HC) systems and affect a growing number of people worldwide.
Yi Shan +4 more
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Online Learning of Optimally Diverse Rankings [PDF]
Proceedings of the ACM on Measurement and Analysis of Computing
Systems, Volume 1, Issue 2, December 2017, Article No 32, 2021 Search engines answer users' queries by listing relevant items (e.g. documents, songs, products, web pages, ...). These engines rely on algorithms that learn to rank items so as to present an ordered list maximizing the probability that it contains relevant item.
arxiv +1 more source