Towards suicide ideation detection through online conversational context
Social media enable users to share their feelings and emotional struggles. They also offer
an opportunity to provide community support to suicidal users. Recent studies on suicide risk …
an opportunity to provide community support to suicidal users. Recent studies on suicide risk …
Suicide ideation detection via social and temporal user representations using hyperbolic learning
Recent psychological studies indicate that individuals exhibiting suicidal ideation
increasingly turn to social media rather than mental health practitioners. Personally …
increasingly turn to social media rather than mental health practitioners. Personally …
A time-aware transformer based model for suicide ideation detection on social media
Social media's ubiquity fosters a space for users to exhibit suicidal thoughts outside of
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
traditional clinical settings. Understanding the build-up of such ideation is critical for the …
Phase: Learning emotional phase-aware representations for suicide ideation detection on social media
Recent psychological studies indicate that individuals exhibiting suicidal ideation
increasingly turn to social media rather than mental health practitioners. Contextualizing the …
increasingly turn to social media rather than mental health practitioners. Contextualizing the …
Classifying suicide-related content and emotions on Twitter using Graph Convolutional Neural Networks
Recent work in Natural Language Processing has increasingly focused on detecting suicidal
intent in textual data, where the main aim is to detect expressions in a binary setting …
intent in textual data, where the main aim is to detect expressions in a binary setting …
Discovering shifts to suicidal ideation from mental health content in social media
History of mental illness is a major factor behind suicide risk and ideation. However research
efforts toward characterizing and forecasting this risk is limited due to the paucity of …
efforts toward characterizing and forecasting this risk is limited due to the paucity of …
An example of (too much) hyper-parameter tuning in suicide ideation detection
This work starts with the TWISCO baseline, a benchmark of suicide-related content from
Twitter. We find that hyper-parameter tuning can improve this baseline by 9%. We examined …
Twitter. We find that hyper-parameter tuning can improve this baseline by 9%. We examined …
# suicidal-A multipronged approach to identify and explore suicidal ideation in twitter
Technological advancements have led to the creation of social media platforms like Twitter,
where people have started voicing their views over rarely discussed and socially …
where people have started voicing their views over rarely discussed and socially …
Dare to care: A context-aware framework to track suicidal ideation on social media
The abundance and growing usage of social media has given an unprecedented access to
users' social accounts for studying people's thoughts and sentiments. In this work, we are …
users' social accounts for studying people's thoughts and sentiments. In this work, we are …
Utilizing temporal psycholinguistic cues for suicidal intent estimation
Temporal psycholinguistics can play a crucial role in studying expressions of suicidal intent
on social media. Current methods are limited in their approach in leveraging contextual …
on social media. Current methods are limited in their approach in leveraging contextual …