Washington: Researchers have developed a software program that can detect depression in blogs and online texts.The software, developed at Ben-Gurion University of the Negev (BGU), is capable of identifying language that can indicate the writer`s psychological state, which could serve as a screening tool.Associate Professor Yair Neuman and his team demonstrated that when used to scan more than 300,000 English language blogs posted to mental health Web sites, the program identified what it perceived to be the 100 "most depressed" and 100 "least depressed" bloggers. A panel of four clinical psychologists verified a 78 percent correlation between the computer`s findings and the panel`s.
With this software, it is possible to analyse proactively. If the blogger agrees, he will know whether or not he needs to seek professional counselling.The findings will be published in the International Conference on Web Intelligence proceedings. ANI
Cheers! Red wine may help keep Alzheimer``s at bay
`Weight gain after 50 can lead to diabetes`