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Text mining of Reddit posts: Using latent Dirichlet allocation to identify common parenting issues.

• Authors : Westrupp EM; School of Psychology, Deakin University, Geelong, Victoria, Australia.; The Centre for Social and Early Emotional Development, Melbourne, Victoria, Australia.

Subjects: Data Mining* ; Parenting*; Adolescent

• Source: PloS one [PLoS One] 2022 Feb 02; Vol. 17 (2), pp. e0262529. Date of Electronic Publication: 2022 Feb 02 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Insights Into Korean Public Perspectives on Urology: Online News Data Analytics Through Latent Dirichlet Allocation Topic Modeling.

• Authors : Young Wook Oh¹; JungYoon Kim¹

• Source: International Neurourology Journal. 2023 Supplement, Vol. 27, pS91-S98. 8p.

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Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach

• Authors : Reza Mohammadi Asiyabi; Mihai Datcu

Subjects: Bag of visual words (BOVW); benchmark dataset; data mining

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2607-2620 (2022)

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Public Opinion Mining on Construction Health and Safety: Latent Dirichlet Allocation Approach

• Authors : Liyun Zeng; Rita Yi Man Li; Tan Yigitcanlar

Subjects: big data analytics; construction industry; data mining

• Source: Buildings, Vol 13, Iss 4, p 927 (2023)

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Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach

• Authors : Mohammadi Asiyabi, Reza; Datcu, Mihai

Subjects: MENELAOS_NT; H2020; Sensor Systems

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on "IEEE 2021 International Geoscience and Remote Sensing Symposium (IGARSS 2021)", (2022-02-22)

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Latent Dirichlet Allocation-based Discovery of Semantic classes in Earth Observation Images

• Authors : Mohammadi Asiyabi, Reza; Datcu, Mihai

Subjects: MENELAOS_NT; H2020; Sensor Systems

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on "IEEE 2021 International Geoscience and Remote Sensing Symposium (IGARSS 2021)", (2022-02-22)

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Innovative Heuristics to Improve the Latent Dirichlet Allocation Methodology for Textual Analysis and a New Modernized Topic Modeling Approach

• Authors : Zimmerman, Jamie T.

Subjects: Natural language processing; Textual analysis; Word clouds

• Source: Theses and Dissertations

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Financial Latent Dirichlet Allocation (FinLDA): Feature Extraction in Text and Data Mining for Financial Time Series Prediction

• Authors : Nont Kanungsukkasem; Teerapong Leelanupab

Subjects: Bayesian method; data mining; data preparation

• Source: IEEE Access, Vol 7, Pp 71645-71664 (2019)

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Text mining of Reddit posts: Using latent Dirichlet allocation to identify common parenting issues

• Authors : Lauryn J Hagg; George J. Youssef; Matthew Fuller-Tyszkiewicz

Subjects: Parents; Computer science; Emotions

• Source: PLoS ONEPLoS ONE, Vol 17, Iss 2, p e0262529 (2022)

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Public Opinion Mining on Construction Health and Safety: Latent Dirichlet Allocation Approach

• Authors : Zeng, Liyun; Li, Rita Yi Man; Yigitcanlar, Tan

Subjects: big data analytics; construction industry; data mining

• Source: Buildings

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