Sentiment Analysis for PTSD Signals

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Sentiment Analysis for PTSD Signals by Vadim Kagan, Edward Rossini, Demetrios Sapounas, Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Vadim Kagan, Edward Rossini, Demetrios Sapounas ISBN: 9781461430971
Publisher: Springer New York Publication: October 25, 2013
Imprint: Springer Language: English
Author: Vadim Kagan, Edward Rossini, Demetrios Sapounas
ISBN: 9781461430971
Publisher: Springer New York
Publication: October 25, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book Environment and Breast Cancer by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Manual of Renal Transplantation by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Impact of Genetic Targets on Cancer Therapy by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Atlas of Pediatric Brain Tumors by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Phytochemicals, Plant Growth, and the Environment by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Queues by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Elements of Marine Ecology by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Celestial Delights by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Conservation of Tropical Plant Species by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Residue Reviews / Rückstands-Berichte by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Neurobiology of Actin by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Integrative Biology of Women’s Health by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Acute Disorders of the Abdomen by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book Resource Management for Heterogeneous Networks in LTE Systems by Vadim Kagan, Edward Rossini, Demetrios Sapounas
Cover of the book An Introductory Course in Functional Analysis by Vadim Kagan, Edward Rossini, Demetrios Sapounas
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy