Výsledky vyhledávání - "Dynamic Topic Modelling"

Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique

Autoři: Guillén Pacho, Ibai Badenes Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science and Analytics, ISSN 2364-415X, 2024-08-13
Archivo Digital UPM
Universidad Politécnica de Madrid

Témata: CORD-1, Informática, Coronaviruses, Medicina, Labeling techniques, topic modeling, COVID-19, Labelings, Dynamic topic models, Topic labelling, CORD-19, Tim, Stem-Cell Transplantation, Scientific Literature, 3. Good health, Coronavirus, 03 medical and health sciences, Topic labeling, 0302 clinical medicine, Topic interpretability, Dynamic topic model, Interpretability

Popis souboru: application/pdf

Přístupová URL adresa: https://oa.upm.es/88044/

Analysing online customer experience in hotel sector using dynamic topic modelling and net promoter score

Autoři: Van-Ho Nguyen Thanh Ho

Zdroj: Journal of Hospitality and Tourism Technology. 14:258-277

Témata: 0502 economics and business, 05 social sciences

MAPPING THE CHATTER: SPATIAL METAPHORS FOR DYNAMIC TOPIC MODELLING OF SOCIAL MEDIA

Autoři: Morandini, L Mohammad, AR Sinnott, RO

Zdroj: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W1-2022, Pp 315-320 (2022)

Témata: Technology, Applied optics. Photonics, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences, TA1501-1820, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://isprs-archives.copernicus.org/articles/XLVIII-4-W1-2022/315/2022/
https://doaj.org/article/435b1e8e7e93498f91e8f8e6ffbcfe65

Dynamic Topic Modelling of Online Discussions on the Russian War in Ukraine

Autoři: Taras Ustyianovych Nadiia Kasianchuk Halina Falfushynska a další

Zdroj: Proceedings of the International Conference on Applied Innovations in IT, Vol 11, Iss 2, Pp 81-90 (2023)

Témata: machine learning operations (mlops), social media discussions, russian war in ukraine, splunk enterprise, latent dirichlet allocation (lda), Electronic computers. Computer science, QA75.5-76.95, Technology

Popis souboru: electronic resource

Relation: https://icaiit.org/paper.php?paper=11th_ICAIIT_2/2_7; https://doaj.org/toc/2199-8876

Přístupová URL adresa: https://doaj.org/article/70543692246b4de99cb32cbf020334a5

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

Autoři: Guillén Pacho, Ibai Badenes Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science and Analytics, ISSN 2364-415X, 2024-08-13

Témata: Informática, Medicina, info:eu-repo/semantics/article, info:eu-repo/semantics/acceptedVersion

URL: https://oa.upm.es/88044/
https://link.springer.com/article/10.1007/s41060-024-00610-0
https://link.springer.com/article/10.1007/s41060-024-00610-0
info:eu-repo/grantAgreement/CAM//PIPF-2022%2FCOM-25947
info:eu-repo/semantics/altIdentifier/doi/10.1007/s41060-024-00610-0

Dynamic Topic Modelling for Cryptocurrency Community Forums

Autoři: Linton, Marco Teo, Ernie Gin Swee Bommes, Elisabeth a další

Zdroj: Statistics and Computing ISBN: 9783662544853

Témata: Cryptocurrencies, ddc:330, 9. Industry and infrastructure, 330 Wirtschaft, C19, 1. No poverty, 02 engineering and technology, Financial Risk, 16. Peace & justice, 7. Clean energy, 01 natural sciences, 8. Economic growth, G0, 0202 electrical engineering, electronic engineering, information engineering, G10, Dynamic Topic Modelling, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2016-051.pdf
https://edoc.hu-berlin.de/handle/18452/19128
https://edoc.hu-berlin.de/bitstream/18452/19128/1/2016-051.pdf
https://link.springer.com/chapter/10.1007/978-3-662-54486-0_18
https://ideas.repec.org/p/hum/wpaper/sfb649dp2016-051.html
https://www.econstor.eu/handle/10419/148887
https://rd.springer.com/chapter/10.1007/978-3-662-54486-0_18
https://autopapers.ssrn.com/sol3/papers.cfm?abstract_id=2875661
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2875661
http://hdl.handle.net/10419/148887
http://edoc.hu-berlin.de/18452/19128
https://doi.org/10.18452/18449

Improving Customer Experience Management: A Dynamic Topic Modelling Approach

Autoři: Khayati Gargari, Mandis

Zdroj: Khayati Gargari, M 2024, 'Improving Customer Experience Management: A Dynamic Topic Modelling Approach', Ph.D.

Témata: Dynamic Topic Modelling, Customer Experience

Popis souboru: application/pdf

Dostupnost: https://rhul.elsevierpure.com/en/publications/2ad9a454-527b-4153-93f9-273296981f86
https://pure.royalholloway.ac.uk/ws/files/59193506/Mandis_K.Gargari-Thesis-100912354.pdf

Science mapping via dynamic topic modelling: an analysis on 30 years of Social Indicators Research

Autoři: Massimo Aria Michelangelo Misuraca Maria Spano

Témata: bibliometrics, thematic evolution, topic modelling, bibliometrics, thematic evolution, topic modelling

Přístupová URL adresa: https://hdl.handle.net/20.500.11770/292335
https://hdl.handle.net/11386/4887982

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique

Autoři: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar a další

Přispěvatelé: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar a další

Zdroj: International Journal of Data Science and Analytics ; volume 20, issue 3, page 2551-2581 ; ISSN 2364-415X 2364-4168

Dostupnost: https://doi.org/10.1007/s41060-024-00610-0
https://link.springer.com/content/pdf/10.1007/s41060-024-00610-0.pdf
https://link.springer.com/article/10.1007/s41060-024-00610-0/fulltext.html

Dynamic topic modelling for exploring the scientific literature on coronavirus: an unsupervised labelling technique.

Autoři: Guillén-Pacho, Ibai Badenes-Olmedo, Carlos Corcho, Oscar

Zdroj: International Journal of Data Science & Analytics; Sep2025, Vol. 20 Issue 3, p2551-2581, 31p

Topic Labels of 'Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique'

Autoři: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Přispěvatelé: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Témata: Topic Labels, Dynamic Topic Labels

Relation: https://zenodo.org/records/12752032; oai:zenodo.org:12752032; https://doi.org/10.5281/zenodo.12752032

Dostupnost: https://doi.org/10.5281/zenodo.12752032
https://zenodo.org/records/12752032

Dynamic Topic Models of 'Dynamic Topic Modelling for Exploring the Scientific Literature on Coronavirus: An Unsupervised Labelling Technique'

Autoři: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Přispěvatelé: Guillén-Pacho, Ibai orcid:0000-0001-7801- Badenes-Olmedo, Carlos a další

Témata: Topic Models, Dynamic Topic Models, Dynamic Topic Labelling, Topic Labelling

Relation: https://zenodo.org/records/12750327; oai:zenodo.org:12750327; https://doi.org/10.5281/zenodo.12750327

Dostupnost: https://doi.org/10.5281/zenodo.12750327
https://zenodo.org/records/12750327

Comparison of Two-pass Algorithms for Dynamic Topic Modelling Based on Matrix Decompositions

Autoři: Cardiff, John Skitalinskaya, Gabriella Alexandrov, Mikhail

Zdroj: Conference Papers

Témata: Dynamic Topic Modeling, Matrix Decomposition, Latent Dirichlet Allocation, Computer Sciences, Numerical Analysis and Scientific Computing

Popis souboru: application/pdf

Relation: https://arrow.tudublin.ie/ittscicon/11; https://arrow.tudublin.ie/context/ittscicon/article/1011/viewcontent/2017_Skitalinskaya_et_al_Comparison_of_two_pass_algorithms.pdf

Dostupnost: https://arrow.tudublin.ie/ittscicon/11
https://doi.org/10.1007/978-3-030-02840-4_3
https://arrow.tudublin.ie/context/ittscicon/article/1011/viewcontent/2017_Skitalinskaya_et_al_Comparison_of_two_pass_algorithms.pdf

Dynamic Topic Modelling for Cryptocurrency Community Forums

Autoři: Linton, M. Teo, E. G. S. Bommes, E. a další

Zdroj: Statistics and Computing ; Applied Quantitative Finance ; page 355-372 ; ISSN 1431-8784 2197-1706 ; ISBN 9783662544853 9783662544860

Dostupnost: https://doi.org/10.1007/978-3-662-54486-0_18
http://link.springer.com/content/pdf/10.1007/978-3-662-54486-0_18

Classification of Saikaku's works using topic modelling.

Autoři: Uesaka, Ayaka¹ (AUTHOR)

Zdroj: Digital Scholarship in the Humanities. Sep2025, Vol. 40 Issue 3, p928-955. 28p.

Témata: *THEMATIC analysis, *JAPANESE literature, *LITERARY form

Analysing online customer experience in hotel sector using dynamic topic modelling and net promoter score.

Autoři: Nguyen, Van-Ho Ho, Thanh

Zdroj: Journal of Hospitality & Tourism Technology; 2023, Vol. 14 Issue 2, p258-277, 20p

Témata: CUSTOMER experience, CUSTOMER satisfaction, DYNAMIC models, BUSINESS development, EVIDENCE gaps, WORK experience (Employment)

Toxicity in Evolving Twitter Topics - Employing a novel Dynamic Topic volution Model (DyTEM) onTwitter data

Autoři: Geller, Marcel Pinheiro, Flávio Luís Portas RUN

Přispěvatelé: Geller, Marcel Pinheiro, Flávio Luís Portas RUN

Témata: Twitter Research, Topic Modelling, Topic Evolution, Discourse Toxicity, Dynamic Topic Modelling, SDG 16 - Peace, justice and strong institutions, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/159459

Electric Vehicle Battery Technologies and Capacity Prediction: A Comprehensive Literature Review of Trends and Influencing Factors

Autoři: Vo Tri Duc Sang Quang Huy Duong Li Zhou a další

Zdroj: Batteries, Vol 10, Iss 12, p 451 (2024)

Témata: electric vehicle battery, dynamic topic modelling, literature review, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Industrial electrochemistry, TP250-261

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2313-0105/10/12/451; https://doaj.org/toc/2313-0105

Přístupová URL adresa: https://doaj.org/article/9290a1154e25446d892ce9ea6b57d697

Nowcasting inflation expectations using twitter

Autoři: Gorham, Nicholas Han, Qiwei RUN

Přispěvatelé: Gorham, Nicholas Han, Qiwei RUN

Témata: Nowcasting, Twitter, Inflation expectations, Dynamic topic modelling, CEMS MIM, Domínio/Área Científica::Ciências Sociais::Economia e Gestão

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/173357

Discovering the evolution of artificial intelligence in cancer research using dynamic topic modeling

Autoři: Mosallaie, Shahab Rad, Mahdi Schiffauerova, Andrea a další

Zdroj: COLLNET Journal of Scientometrics and Information Management. 15:225-240

Témata: 0301 basic medicine, 03 medical and health sciences, machine learning, 0302 clinical medicine, dynamic topic modelling, cancer research evolution, natural language processing, artificial intelligence, 3. Good health