Kagan vadim (20 risultati)
iNK BLOTS: Volume 2
Mark Fishbein; Julie Maurer; Anna Lindsay; Dana Gittings; Elizabeth Black; Vadim Kagan; Marcia Kraft; Keith David Parsons; Rebecca Wener
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Da: ThriftBooks-Dallas, Dallas, U.S.A.ThriftBooks-Dallas
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EUR 8,83
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Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Parker, Martin L (illustratore).
NOT TO PERISH: Articles by an American Professor of Russian
Croft, Lee B.; Baehr, Alicia C.; Heuer, Patrick J.; Nielsen, Jaime R.; Sarlo, Shane C.; Tribble, Shamella; Abbott, Andrew W.; Ecton, Jeremy; Harris, Jon; Kagan, Vadim S.
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Da: California Books, Miami, U.S.A.California Books
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EUR 28,31
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Condizione: New.
NOT TO PERISH: Articles by an American Professor of Russian
Croft, Lee B.; Baehr, Alicia C.; Heuer, Patrick J.; Nielsen, Jaime R.; Sarlo, Shane C.; Tribble, Shamella; Abbott, Andrew W.; Ecton, Jeremy; Harris, Jon; Kagan, Vadim S.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 27,49
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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EUR 50,74
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Condizione: New.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 58,85
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Condizione: New. In.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: Books Puddle, New York, U.S.A.Books Puddle
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EUR 70,60
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Condizione: New. pp. 92.
Lingua: Inglese
Editore: Springer 2013-10 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 56,38
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PF. Condizione: New.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 58,41
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Condizione: New.
Lingua: Inglese
Editore: Springer-Verlag New York Inc 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 75,59
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Paperback. Condizione: Brand New. 81 pages. 9.00x6.00x0.25 inches. In Stock.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 108,53
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer, Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 58,39
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it explores how emerging computati…onal techniques such as sentiment mining can be used in real-time to identify posts that contain PTSD-related signals, flag those posts, and bring them to the attention of psychologists, thus providing an automated flag and referral capability. The use of sentiment extraction technologies allows automatic in-depth analysis of opinions and emotions expressed by individuals in their online posts. By training these automated systems with input from academic and clinical experts, the systems can be refined so that the accuracy of their detection of possible PTSD signals is comparable to that of psychologists reading the same online posts. While a portion of the literature on this and related topics explores the correlation between text patterns in archived documents and PTSD, no literature to date describes a system performing real-time analysis. Our system allows analysts to quickly identify, review, and validate online posts which have been flagged as exhibiting signs or symptoms of PTSD and enables follow-up, thus allowing for the presentation of treatment options to the authors of those posts. We describe the ontology of PTSD-related terms (i.e., terms which signal PTSD and related conditions) that need to be tracked, the algorithms used for extraction of the intensity of these signals, and the training process used to fine-tune sentiment analysis algorithms. We then present the results of processing a validation data set, different from the training set, comparing the algorithmic output with opinions of clinical psychologists, and explain how the concept can be extended to detect signals of other psychological conditions. We present a sample system architecture and implementation which can be used to engage users and theirfamilies, either anonymously or eponymously, and use the sentiment extraction algorithms as an early screening tool to alert clinicians to participants who may require close monitoring or follow-up. Finally, we describe a user test conducted with users recruited from the Veteran population and present the results of the analyses on the data.
Altre immaginiLingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 50,35
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Taschenbuch. Condizione: Neu. Sentiment Analysis for PTSD Signals | Vadim Kagan (u. a.) | Taschenbuch | x | Englisch | 2013 | Springer | EAN 9781461430964 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
Da: Mispah books, Redhill, Regno UnitoMispah books
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Come nuovo
EUR 99,00
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Paperback. Condizione: Like New. Like New. book.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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Da: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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EUR 128,60
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, ItaliaBrook Bookstore On Demand
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EUR 46,22
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer New York Okt 2013 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 53,49
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it explores how em…erging computational techniques such as sentiment mining can be used in real-time to identify posts that contain PTSD-related signals, flag those posts, and bring them to the attention of psychologists, thus providing an automated flag and referral capability. The use of sentiment extraction technologies allows automatic in-depth analysis of opinions and emotions expressed by individuals in their online posts. By training these automated systems with input from academic and clinical experts, the systems can be refined so that the accuracy of their detection of possible PTSD signals is comparable to that of psychologists reading the same online posts. While a portion of the literature on this and related topics explores the correlation between text patterns in archived documents and PTSD, no literature to date describes a system performing real-time analysis. Our system allows analysts to quickly identify, review, and validate online posts which have been flagged as exhibiting signs or symptoms of PTSD and enables follow-up, thus allowing for the presentation of treatment options to the authors of those posts. We describe the ontology of PTSD-related terms (i.e., terms which signal PTSD and related conditions) that need to be tracked, the algorithms used for extraction of the intensity of these signals, and the training process used to fine-tune sentiment analysis algorithms. We then present the results of processing a validation data set, different from the training set, comparing the algorithmic output with opinions of clinical psychologists, and explain how the concept can be extended to detect signals of other psychological conditions. We present a sample system architecture and implementation which can be used to engage users and their families, either anonymously or eponymously, and use the sentiment extraction algorithms as an early screening tool to alert clinicians to participants who may require close monitoring or follow-up. Finally, we describe a user test conducted with users recruited from the Veteran population and present the results of the analyses on the data. 92 pp. Englisch.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 75,00
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Condizione: New. Print on Demand pp. 92 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Lingua: Inglese
Editore: Springer 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, GermaniaBiblios
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EUR 76,17
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Condizione: New. PRINT ON DEMAND pp. 92.
Lingua: Inglese
Editore: Springer New York 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
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EUR 48,37
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it…explores how emerging computational techn.
Lingua: Inglese
Editore: Springer, Springer Okt 2013 2013
Serie: SpringerBriefs in Computer Science, Libro 103 di 322. Libro 103 di 322 - SpringerBriefs in Computer Science
- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 53,49
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes a computational framework for real-time detection of psychological signals related to Post-Traumatic Stress Disorder (PTSD) in online text-based posts, including blogs and web forums. Further, it explores how emergi…ng computational techniques such as sentiment mining can be used in real-time to identify posts that contain PTSD-related signals, flag those posts, and bring them to the attention of psychologists, thus providing an automated flag and referral capability. The use of sentiment extraction technologies allows automatic in-depth analysis of opinions and emotions expressed by individuals in their online posts. By training these automated systems with input from academic and clinical experts, the systems can be refined so that the accuracy of their detection of possible PTSD signals is comparable to that of psychologists reading the same online posts. While a portion of the literature on this and related topics explores the correlation between text patterns in archived documents and PTSD, no literature to date describes a system performing real-time analysis. Our system allows analysts to quickly identify, review, and validate online posts which have been flagged as exhibiting signs or symptoms of PTSD and enables follow-up, thus allowing for the presentation of treatment options to the authors of those posts. We describe the ontology of PTSD-related terms (i.e., terms which signal PTSD and related conditions) that need to be tracked, the algorithms used for extraction of the intensity of these signals, and the training process used to fine-tune sentiment analysis algorithms. We then present the results of processing a validation data set, different from the training set, comparing the algorithmic output with opinions of clinical psychologists, and explain how the concept can be extended to detect signals of other psychological conditions. We present a sample system architecture and implementation which can be used to engage users and theirfamilies, either anonymously or eponymously, and use the sentiment extraction algorithms as an early screening tool to alert clinicians to participants who may require close monitoring or follow-up. Finally, we describe a user test conducted with users recruited from the Veteran population and present the results of the analyses on the data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 92 pp. Englisch.
