Abstract
The exponential growth in the use of social media and creation of unstructured data has elevated the importance of text analysis technologies. From political campaigns to business intelligence and national security, the need for the automated extraction of information from unstructured textual data has led to the development of a number of specialized approaches to address the unique needs of particular markets. This project takes a unique approach, which applies text analysis techniques to detection of psychological signals that may be symptomatic of Post-Traumatic Stress Disorder (PTSD). While standard text analysis technologies have been used, this particular project required heavy customization of the toolset. The Text-in, Data-out (TIDO) tool, built to facilitate the human annotation of the training corpus, has been used to capture the human psychologists’ knowledge and make it available to the analytical engine for training.
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Notes
- 1.
Google claimed to have processed one trillion unique URLs, as reported by Information Week on July 25, 2008.
- 2.
BlogPulse was a search engine and analytic system for blogs, which is currently owned by NM Incite, a joint venture between Nielsen and McKinsey.
- 3.
See http://www.artechhouse.com/GetBlob.aspx?strName=ananiadou_984_samplech03.pdf for more information on medical taxonomies.
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Kagan, V., Rossini, E., Sapounas, D. (2013). Text Analytics. In: Sentiment Analysis for PTSD Signals. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3097-1_4
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