Results 11 to 20 of about 93,510 (232)
Analysis and tuning of hierarchical topic models based on Renyi entropy approach [PDF]
PeerJ Computer Science, 2021 Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness.
Sergei Koltcov +3 more
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Estimation of Topic Similarity and Its Application to Measuring Stability of Topic Modeling [PDF]
Jiàoyù zīliào yǔ túshūguǎn xué, 2022 Topic modeling stability is a measurement of the extent to which models produced by the same modeling approach for the same corpus and with the same initial conditions have similar topics.
Sung-Chien Lin
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The Number of Topics Optimization: Clustering Approach [PDF]
Machine Learning and Knowledge Extraction, 2019 Although topic models have been used to build clusters of documents for more than ten years, there is still a problem of choosing the optimal number of topics. The authors analyzed many fundamental studies undertaken on the subject in recent years. The main problem is the lack of a stable metric of the quality of topics obtained during the construction
Fedor Krasnov, Anastasiia Sen
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ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
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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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