SAO2Vec: Development of an algorithm for embedding the subject–action–object (SAO) structure using Doc2Vec

In natural-language processing, the subject-action-object (SAO) structure is used to convert unstructured textual data into structured textual data comprising subjects, actions, and objects. This structure is suitable for analyzing the key elements of technology, as well as the relationships between...

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Veröffentlicht in:	PloS one Jg. 15; H. 2; S. e0227930
Hauptverfasser:	Kim, Sunhye, Park, Inchae, Yoon, Byungun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 05.02.2020 Public Library of Science (PLoS)
Schlagworte:	Algorithms Bibliographic records Biology and Life Sciences Computer and Information Sciences Data Mining Databases as Topic Documentation Embedding Engineering and Technology Engineering schools Forecasts and trends Information processing Internet of Things Methods Mining industry Models, Theoretical Natural language processing Patents as Topic Pattern recognition Physical Sciences Research and Analysis Methods Researchers Semantics Sentences Social Sciences Structure (Literature) Technical information Technology Unstructured data Wireless communications
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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