Title :
Discerning suicide notes causality using fuzzy cognitive maps
Author :
White, Ethan ; Mazlack, Lawrence J.
Author_Institution :
Appl. Comput. Intell. Lab., Univ. of Cincinnati, Cincinnati, OH, USA
Abstract :
An important question is how to determine if a person is exhibiting suicidal tendencies in behavior, speech, or writing. This paper demonstrates a method of analyzing written material to determine whether or not a person is suicidal. The method involves an analysis of word frequencies that are used in a fuzzy cognitive map. The fuzzy cognitive map determines if there are suicidal tendencies. The method could have substantial potential in suicide prevention as well as in other forms of sociological behavior studies that also might exhibit their own identifying patterns.
Keywords :
behavioural sciences computing; cognitive systems; directed graphs; fuzzy set theory; natural language processing; social sciences computing; fuzzy cognitive maps; pattern identification; sociological behavior studies; suicidal tendencies; suicide notes causality; suicide prevention; word frequency analysis; written material analysis; Biological system modeling; Computational modeling; Data mining; Fuzzy cognitive maps; Materials; Testing; Writing; causality; fuzzy cognitive maps; language; natural language processing; suicide;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007692
