Renormalization Analysis of Topic Models
Entropy, 2020 In practice, to build a machine learning model of big data, one needs to tune model parameters. The process of parameter tuning involves extremely time-consuming and computationally expensive grid search.
Sergei Koltcov, Vera Ignatenko
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Analisis Topik Tagar Covidindonesia pada Instagram Menggunakan Latent Dirichlet Allocation
JISKA (Jurnal Informatika Sunan Kalijaga), 2022 In this era, technology is increasingly sophisticated, this is evidenced by the number of people using the internet via cell phones, laptops, and other communication tools.
Kevin Rafi Adjie Putra Santoso +3 more
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Mining Method of Academic Research Hotspot Based on Spark [PDF]
Jisuanji gongcheng, 2019 By optimizing the Latent Dirichlet Allocation(LDA) topic model in Spark Machine Learning Library(MLlib),this paper proposes an improved mining method of academic research hotspots.LDA is used to model the keywords of academic papers.The optimal number of
ZHANG Cong, YI Xiushuang, ZHU Minghao, WANG Xingwei
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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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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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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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Implementing Shor's algorithm on Josephson Charge Qubits [PDF]
, 2004 We investigate the physical implementation of Shor's factorization algorithm on a Josephson charge qubit register. While we pursue a universal method to factor a composite integer of any size, the scheme is demonstrated for the number 21.
A. V. Aho +12 more
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Multiorder, Kleene stars and cyclic projectors in the geometry of max cones [PDF]
, 2008 This paper summarizes results on some topics in the max-plus convex geometry, mainly concerning the role of multiorder, Kleene stars and cyclic projectors, and relates them to some topics in max algebra.
Sergeev, Sergei
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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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