Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AMHWQ6ZZU" target="_blank" >RIV/00216208:11320/23:MHWQ6ZZU - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160501428&doi=10.1007%2f978-3-658-38798-3_11&partnerID=40&md5=105ae035787b7d988e0274626e3b98e1" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160501428&doi=10.1007%2f978-3-658-38798-3_11&partnerID=40&md5=105ae035787b7d988e0274626e3b98e1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-658-38798-3_11" target="_blank" >10.1007/978-3-658-38798-3_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content

Popis výsledku v původním jazyce

"Keywords should represent the content of documents in a compact form. They serve to assign suitable publications to a search query in the context of a scientific literature search. If a literature search is carried out as part of a scientific work, the found publications must be analyzed and their content evaluated. This can be a large number of publications, so that the analysis of the content can be extremely time-consuming. This article describes how the analysis of publications can be supported by text mining in the context of “Explainable AI” literature evaluation. Keywords are extracted from the abstracts of the found publications by text mining. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2023."

Název v anglickém jazyce

Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content

Popis výsledku anglicky

"Keywords should represent the content of documents in a compact form. They serve to assign suitable publications to a search query in the context of a scientific literature search. If a literature search is carried out as part of a scientific work, the found publications must be analyzed and their content evaluated. This can be a large number of publications, so that the analysis of the content can be extremely time-consuming. This article describes how the analysis of publications can be supported by text mining in the context of “Explainable AI” literature evaluation. Keywords are extracted from the abstracts of the found publications by text mining. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2023."

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

"Apply Data Science: Introduction, Applications and Projects"

ISBN

978-365838798-3

Počet stran výsledku

7

Strana od-do

181-187

Počet stran knihy

439

Název nakladatele

Springer Fachmedien Wiesbaden

Místo vydání

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Kód UT WoS kapitoly

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