Exploring the Role of First-Person Singular Pronouns in Detecting Suicidal Ideation: A Machine Learning Analysis of Clinical Transcripts

Exploring the Role of First-Person Singular Pronouns in Detecting Suicidal Ideation: A Machine Learning Analysis of Clinical Transcripts

Linguistic features, particularly the use of first-person singular pronouns (FPSPs), have been identified as potential indicators of suicidal ideation. Machine learning (ML) and natural language processing (NLP) have shown potential in suicide detection, but their clinical applicability remains unde...

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Bibliographic Details
Main Authors: Rong Huang, Siqi Yi, Jie Chen, Kit Ying Chan, Joey Wing Yan Chan, Ngan Yin Chan, Shirley Xin Li, Yun Kwok Wing, Tim Man Ho Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Behavioral Sciences
Subjects:
suicidal ideation
clinical interview
first-person singular pronoun
natural language processing
machine learning
Online Access:https://www.mdpi.com/2076-328X/14/3/225

Internet

https://www.mdpi.com/2076-328X/14/3/225

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