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Natural Language Processing for the Semantic Web - 13 Angebote vergleichen
Bester Preis: € 58,41 (vom 30.06.2022)Natural Language Processing for the Semantic Web (2016)
ISBN: 9783031794735 bzw. 3031794737, vermutlich in Englisch, Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into S. Books.
Natural Language Processing for the Semantic Web
ISBN: 9783031794735 bzw. 3031794737, vermutlich in Englisch, Morgan & Claypool / Springer / Springer International Publishing / Springer, Berlin, Taschenbuch, neu.
Von Händler/Antiquariat, buecher.de GmbH & Co. KG, [1].
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. 2016. xiv, 182 S. XIV, 182 p. 235 mm Versandfertig in 6-10 Tagen, Softcover, Neuware, Offene Rechnung (Vorkasse vorbehalten).
Natural Language Processing for the Semantic Web (2016)
ISBN: 9783031794735 bzw. 3031794737, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Druck auf Anfrage Neuware -This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. 196 pp. Englisch, Books.
Natural Language Processing for the Semantic Web
ISBN: 9781627056328 bzw. 1627056327, in Englisch, Morgan & Claypool Publishers, neu, E-Book.
Computers, This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system (named entity recognition and relation extraction) which build on these components. The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions. The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. eBook.
Natural Language Processing for the Semantic Web (2016)
ISBN: 9781627056328 bzw. 1627056327, in Englisch, Morgan & Claypool Publishers, Morgan & Claypool Publishers, Morgan & Claypool Publishers, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Natural Language Processing for the Semantic Web (2016)
ISBN: 9781627056328 bzw. 1627056327, in Englisch, Morgan & Claypool Publishers, Morgan & Claypool Publishers, Morgan & Claypool Publishers, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Natural Language Processing for the Semantic Web
ISBN: 9781627059091 bzw. 1627059091, in Englisch, Morgan & Claypool Publishers, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Natural Language Processing for the Semantic Web
ISBN: 9783031794742 bzw. 3031794745, in Englisch, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Natural Language Processing for the Semantic Web
ISBN: 3031794737 bzw. 9783031794735, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Natural Language Processing for the Semantic Web
ISBN: 9781627056328 bzw. 1627056327, in Englisch, Morgan & Claypool Publishers, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen