Sentiment Analysis for PTSD Signals

• Main Authors: Kagan, Vadim. (Author), Rossini, Edward. (Author), Sapounas, Demetrios. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Database management.; Artificial intelligence.; Philosophy (General).; Computer Science.; Artificial Intelligence (incl. Robotics).; Database Management.; Psychology, general.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-3097-1

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...

Table of Contents:

• Introduction
• Introduction to PTSD Signals
• Data Source
• Text Analytics
• Scoring Engine
• System Overview
• Conclusions.