Sentiment Analysis in the Bio-medical Domain: Techniques, Tools, and Applications - Couverture rigide
Livre 7 sur 10: Socio-Affective Computing
Synopsis
Offers a novel approach to combine computational complexity and machine learning
Demonstrates a construction of Medical Lexicon for the sole purpose of Sentiment Analysis in Bio-medical Domain
Includes a special chapter on experimental results obtained on the medical lexicon built
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Mr. Ranjan Satapathy is currently pursuing Ph.D., at the School of Computer Science and Engg., NTU Singapore under the supervision of Dr. Erik Cambria. His major research interests are deep learning, sentiment analysis and natural language processing.
He completed his Bachelor's degree in Computer Science and Engg., from IIIT-Bhubaneswar, India in 2013. He further recieved a M.Tech degree from University of Hyderabad, India in 2016, with majors in Computer Science. During his pursuits of Master's degree, he joined Dr. Cambria's research group SenticNet as an intern, where he worked on bio-medical sentiment analysis. This exposure and a keen-to-learn attitude motivated him to apply for Ph.D under Dr. Cambria.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Sentiment Analysis in the Bio-Medical Domain
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Springer International Publishing Feb 2018, 2018
ISBN 10 : 3319684671
ISBN 13 : 9783319684673
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining 160 pp. Englisch. N° de réf. du vendeur 9783319684673
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Sentiment Analysis in the Bio-Medical Domain
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Springer International Publishing, 2018
ISBN 10 : 3319684671
ISBN 13 : 9783319684673
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mr. Ranjan Satapathy is currently pursuing Ph.D., at the School of Computer Science and Engg., NTU Singapore under the supervision of Dr. Erik Cambria. His major research interests are deep learning, sentiment analysis and natural language processing. He. N° de réf. du vendeur 160354415
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Sentiment Analysis in the Bio-Medical Domain | Techniques, Tools, and Applications
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Springer International Publishing, 2018
ISBN 10 : 3319684671
ISBN 13 : 9783319684673
Neuf
Couverture rigide
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Buch. Etat : Neu. Sentiment Analysis in the Bio-Medical Domain | Techniques, Tools, and Applications | Ranjan Satapathy (u. a.) | Buch | xxiv | Englisch | 2018 | Springer International Publishing | EAN 9783319684673 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 111015482
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Sentiment Analysis in the Bio-Medical Domain
ISBN 10 : 3319684671
ISBN 13 : 9783319684673
Neuf
Couverture rigide
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Buch. Etat : Neu. Neuware -The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain.The readers will discover the following key novelties:1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.;2) ensemble of machine learning and computational creativity;3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text miningSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch. N° de réf. du vendeur 9783319684673
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Sentiment Analysis in the Bio-Medical Domain : Techniques, Tools, and Applications
Edité par
Springer International Publishing, 2018
ISBN 10 : 3319684671
ISBN 13 : 9783319684673
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining. N° de réf. du vendeur 9783319684673
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