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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | White, E. Mazlack, L.J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Applied Computational Intelligence Laboratory, University of Cincinnati, Cincinnati, Ohio USA (White, E.; Mazlack, L.J.) |
| 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. |
| Starting Page | 2940 |
| Ending Page | 2947 |
| File Size | 1934801 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007692 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Materials Testing Fuzzy cognitive maps Writing Biological system modeling Data mining Computational modeling natural language processing fuzzy cognitive maps causality suicide language |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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