Literature DB >> 17722692

The content of suicide notes from attempters and completers.

Lori D Handelman1, David Lester.   

Abstract

A study of the content of suicide notes from attempted suicides and completed suicides was conducted using the Linguistic Inquiry and Word Count (LIWC) text analysis program. Notes from completed suicides had fewer metaphysical references, more future tense verbs, more social references (to others) and more positive emotions than did the notes from attempted suicides. The implications of these results were discussed.

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Year:  2007        PMID: 17722692     DOI: 10.1027/0227-5910.28.2.102

Source DB:  PubMed          Journal:  Crisis        ISSN: 0227-5910


  9 in total

1.  Detection of Depression and Suicide Risk Based on Text From Clinical Interviews Using Machine Learning: Possibility of a New Objective Diagnostic Marker.

Authors:  Daun Shin; Kyungdo Kim; Seung-Bo Lee; Changwoo Lee; Ye Seul Bae; Won Ik Cho; Min Ji Kim; C Hyung Keun Park; Eui Kyu Chie; Nam Soo Kim; Yong Min Ahn
Journal:  Front Psychiatry       Date:  2022-05-24       Impact factor: 5.435

2.  Suicide Note Classification Using Natural Language Processing: A Content Analysis.

Authors:  John Pestian; Henry Nasrallah; Pawel Matykiewicz; Aurora Bennett; Antoon Leenaars
Journal:  Biomed Inform Insights       Date:  2010-08-04

3.  Sentiment Analysis of Suicide Notes: A Shared Task.

Authors:  John P Pestian; Pawel Matykiewicz; Michelle Linn-Gust; Brett South; Ozlem Uzuner; Jan Wiebe; K Bretonnel Cohen; John Hurdle; Christopher Brew
Journal:  Biomed Inform Insights       Date:  2012-01-30

4.  Revealing semantic and emotional structure of suicide notes with cognitive network science.

Authors:  Andreia Sofia Teixeira; Szymon Talaga; Trevor James Swanson; Massimo Stella
Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

5.  Analyzing suicide life stories on Wikipedia with Highway_star and other textual visualization tools.

Authors:  Florian Lombardo; Mathéo Daly
Journal:  SN Soc Sci       Date:  2021-10-29

6.  Linguistic features and psychological states: A machine-learning based approach.

Authors:  Xiaowei Du; Yunmei Sun
Journal:  Front Psychol       Date:  2022-07-22

7.  Positive Emotional Language in the Final Words Spoken Directly Before Execution.

Authors:  Sarah Hirschmüller; Boris Egloff
Journal:  Front Psychol       Date:  2016-01-13

8.  A word-count approach to analyze linguistic patterns in the reflective writings of medical students.

Authors:  Chi-Wei Lin; Meei-Ju Lin; Chin-Chen Wen; Shao-Yin Chu
Journal:  Med Educ Online       Date:  2016-02-01

9.  Detection of Suicidality Among Opioid Users on Reddit: Machine Learning-Based Approach.

Authors:  Hannah Yao; Sina Rashidian; Xinyu Dong; Hongyi Duanmu; Richard N Rosenthal; Fusheng Wang
Journal:  J Med Internet Res       Date:  2020-11-27       Impact factor: 5.428

  9 in total

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