Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zakariae Alami Merrouni"'
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-34 (2023)
Abstract Due to the exponential growth of online information, the ability to efficiently extract the most informative content and target specific information without extensive reading is becoming increasingly valuable to readers. In this paper, we pr
Externí odkaz:
https://doaj.org/article/6005c6aabda94151b11bfb6db0623fa4
Publikováno v:
Cognitive Computation. 14:852-874
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bad02f29139f024477df9791f1a13714
https://doi.org/10.1007/s12559-021-09979-7
https://doi.org/10.1007/s12559-021-09979-7
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031277610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792d06686deb27390220b8a91cd8b46c
https://doi.org/10.1007/978-3-031-27762-7_10
https://doi.org/10.1007/978-3-031-27762-7_10
Publikováno v:
Journal of Intelligent Information Systems. 54:391-424
Due to the exponential growth of textual data and web sources, an automatic mechanism is required to identify relevant information embedded within them. The utility of Automatic Keyphrase Extraction (AKPE) cannot be overstated, given its widespread a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5adcc7efece584673bda2efba8b4ab64
https://doi.org/10.1007/s10844-019-00558-9
https://doi.org/10.1007/s10844-019-00558-9
Publikováno v:
Procedia Computer Science. 148:191-200
With the growth of electronic data and the expansion of the World Wide Web (WWW), many classic existing retrieval models and systems ignore information about the actual user and search context. Due to the constraints imposed by this fact, context has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ee2aadbb18e22f13b91e46c739854d
https://doi.org/10.1016/j.procs.2019.01.036
https://doi.org/10.1016/j.procs.2019.01.036
Publikováno v:
CIST
Keyphrases are useful for a variety of tasks in information retrieval systems and natural language processing, such as text summarization, automatic indexing, clustering/classification, ontology learning and building and conceptualizing particular kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1a4cdf089e5a0ba06d4a9796f85997a
https://doi.org/10.1109/cist.2016.7805062
https://doi.org/10.1109/cist.2016.7805062