المؤلفون: Bayode Ogunleye, Tonderai Maswera, Laurence Hirsch, Jotham Gaudoin, Teresa Brunsdon

المصدر: Applied Sciences, Vol 13, Iss 2, p 797 (2023)

مصطلحات موضوعية: kernel pca, k-means clustering, topic extraction, topic model, aspect extraction, natural language processing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/2/797; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/4a269d760d774c46b16819091e71a73d

المؤلفون: Teresa Brunsdon, Jotham Gaudoin, Laurence Hirsch, Prasanna S. Haddela

المصدر: Advances in Intelligent Systems and Computing ISBN: 9789813343665

مصطلحات موضوعية: Computer science, End user, Process (engineering), business.industry, Taxonomy (general), Artificial intelligence, Machine learning, computer.software_genre, business, computer, Field (computer science)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39c1031c91959dff0d8417589ff9f70b
https://shura.shu.ac.uk/26480/1/274_M.pdf

المؤلفون: Teresa Brunsdon, Laurence Hirsch, Jotham Gaudoin, Prasanna S. Haddela

المساهمون: Arai, K., Kapoor, S., Bhatia, R.

المصدر: Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 ISBN: 9783030631277

مصطلحات موضوعية: Focus (computing), Web search query, Computer science, business.industry, Document classification, 050901 criminology, 05 social sciences, Language barrier, 02 engineering and technology, Variety (linguistics), computer.software_genre, Field (computer science), Genetic algorithm, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, 0509 other social sciences, business, computer, Natural language processing, Interpretability

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0cf7fd7fd0c17d55a8706095fad077
https://doi.org/10.1007/978-3-030-63128-4_59