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

fYear

2011

fDate

27-30 June 2011

Firstpage

2940

Lastpage

2947

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Conference_Location

Taipei

ISSN

1098-7584

Print_ISBN

978-1-4244-7315-1

Electronic_ISBN

1098-7584

Type

conf

DOI

10.1109/FUZZY.2011.6007692

Filename

6007692