Abstract Purpose of Review Applying text mining to suicide research holds a great deal of
promise. In this manuscript, literature from 2019 to 2021 is critically reviewed for text mining …

Objective To introduce the research methods of computerized text mining and its possible
applications in suicide research and to demonstrate the procedures of applying a specific …

Objective Text‐based responses may provide significant contributions to suicide risk
prediction, yet research including text data is limited. This may be due to a lack of exposure …

Suicide is the second leading cause of death among young adults but the challenges of
preventing suicide are significant because the signs often seem invisible. Research has …

Background: Suicide has been considered an important public health issue for years and is
one of the main causes of death worldwide. Despite prevention strategies being applied, the …

Background Communication plays an important role in the prevention of suicide, a leading
cause of death in the United States. Prior research suggests people who die by suicide often …

Research into suicide prevention has been hampered by methodological limitations such as
low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies …

Background Suicide messages can be transmitted infinitely online; the Internet is influential
in suicide prevention. Identifying suicide risks online via artificial technological advances …

Objective: The aim of this study was to assess associations of various content areas of
Twitter posts with help-seeking from the US National Suicide Prevention Lifeline (Lifeline) …

Suicide is a major public-health problem that exists in virtually every part of the world.
Hundreds of thousands of people commit suicide every year. The early detection of suicidal …