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Sentiment Analysis for PTSD Signals - Demetrios Sapounas, Edward Rossini, Vadim Kagan
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Demetrios Sapounas, Edward Rossini, Vadim Kagan:

Sentiment Analysis for PTSD Signals - new book

10, ISBN: 9781461430971

ID: 203179781461430971

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 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 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 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 Adult, Advanced Computing, Sentiment Analysis for PTSD Signals~~ Demetrios Sapounas, Edward Rossini, Vadim Kagan~~Adult~~Advanced Computing~~9781461430971, en, Sentiment Analysis for PTSD Signals, Demetrios Sapounas, Edward Rossini, Vadim Kagan, 9781461430971, Springer, 10/25/2013, , , , Springer, 10/25/2013

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Sentiment Analysis for PTSD Signals - Vadim Kagan#Edward Rossini#Demetrios Sapounas
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Vadim Kagan#Edward Rossini#Demetrios Sapounas:

Sentiment Analysis for PTSD Signals - new book

ISBN: 9781461430971

ID: 126042815

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 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. Sentiment Analysis for PTSD Signals eBook eBooks>Fremdsprachige eBooks>Englische eBooks>Sach- & Fachthemen>Mathematik, Springer New York

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Sentiment Analysis for PTSD Signals - Kagan, Vadim; Rossini, Edward; Sapounas, Demetrios
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Kagan, Vadim; Rossini, Edward; Sapounas, Demetrios:
Sentiment Analysis for PTSD Signals - new book

2013

ISBN: 1461430976

ID: 9781461430971

In englischer Sprache. Verlag: Springer New York, Introduction.- Introduction to PTSD Signals.- Data Source.- Text Analytics.- Scoring Engine.- System Overview.- Conclusions. PC-PDF, 81 Seiten, X Seiten, 81 Seiten, [GR: 9635 - Nonbooks, PBS / Informatik, EDV/Anwendungs-Software], [SW: - Unternehmensanwendungen], [Ausgabe: 2013][PU:Springer New York]

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Sentiment Analysis for PTSD Signals - Vadim Kagan;  Edward Rossini;  Demetrios Sapounas
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Vadim Kagan; Edward Rossini; Demetrios Sapounas:
Sentiment Analysis for PTSD Signals - First edition

2013, ISBN: 9781461430971

ID: 28708918

[ED: 1], Auflage, eBook Download (PDF), eBooks, [PU: Springer-Verlag]

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Sentiment Analysis for PTSD Signals - Vadim Kagan; Edward Rossini; Demetrios Sapounas
book is out-of-stock
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Vadim Kagan; Edward Rossini; Demetrios Sapounas:
Sentiment Analysis for PTSD Signals - new book

2013, ISBN: 9781461430971

ID: 28708918

[ED: 2013], eBook Download (PDF), eBooks, [PU: Springer New York]

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Details of the book
Sentiment Analysis for PTSD Signals
Author:

Kagan, Vadim; Rossini, Edward; Sapounas, Demetrios

Title:

Sentiment Analysis for PTSD Signals

ISBN:

9781461430971

Details of the book - Sentiment Analysis for PTSD Signals


EAN (ISBN-13): 9781461430971
ISBN (ISBN-10): 1461430976
Publishing year: 2013
Publisher: Springer New York
81 Pages
Language: eng/Englisch

Book in our database since 16.11.2012 08:48:35
Book found last time on 21.02.2017 22:34:39
ISBN/EAN: 9781461430971

ISBN - alternate spelling:
1-4614-3097-6, 978-1-4614-3097-1

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