[HTML][HTML] A novel imbalanced data classification approach for suicidal ideation detection on social media
MA Ben Hassine, S Abdellatif, S Ben Yahia - Computing, 2022 - Springer
Suicide has become a serious social health issue in modern society. Suicidal ideation is
people's thoughts about committing or planning suicide. Many factors, such as long-term …
people's thoughts about committing or planning suicide. Many factors, such as long-term …
Feature-based suicide-ideation detection from Twitter data using machine learning techniques
Mental health is an important and highly debated topic for any generation, and it is
becoming increasingly prominent globally. This condition can be influenced by a number of …
becoming increasingly prominent globally. This condition can be influenced by a number of …
A computational approach to feature extraction for identification of suicidal ideation in tweets
Technological advancements in the World Wide Web and social networks in particular
coupled with an increase in social media usage has led to a positive correlation between the …
coupled with an increase in social media usage has led to a positive correlation between the …
[HTML][HTML] Detecting suicidal ideation in social media: an ensemble method based on feature fusion
J Liu, M Shi, H Jiang - International journal of environmental research and …, 2022 - mdpi.com
Suicide has become a serious problem, and how to prevent suicide has become a very
important research topic. Social media provides an ideal platform for monitoring suicidal …
important research topic. Social media provides an ideal platform for monitoring suicidal …
Predicting and analyzing suicidal risk behavior using rule-based approach in Twitter data
ER Kumar, N Venkatram - Soft computing, 2023 - Springer
Online networking sites are increasingly being used to communicate suicidal thoughts.
Suicide research and policy are best served by monitoring such conversations and …
Suicide research and policy are best served by monitoring such conversations and …
[HTML][HTML] Multi-task learning to detect suicide ideation and mental disorders among social media users
P Buddhitha, D Inkpen - Frontiers in research metrics and analytics, 2023 - frontiersin.org
Mental disorders and suicide are considered global health problems faced by many
countries worldwide. Even though advancements have been made to improve mental well …
countries worldwide. Even though advancements have been made to improve mental well …
[PDF][PDF] Detection of suicidal ideation on Twitter using machine learning & ensemble approaches
Suicidal ideation is one of the most severe mental health issues faced by people all over the
world. There are various risk factors involved that can lead to suicide. The most common & …
world. There are various risk factors involved that can lead to suicide. The most common & …
[HTML][HTML] Deep hierarchical ensemble model for suicide detection on imbalanced social media data
Z Li, J Zhou, Z An, W Cheng, B Hu - Entropy, 2022 - mdpi.com
As a serious worldwide problem, suicide often causes huge and irreversible losses to
families and society. Therefore, it is necessary to detect and help individuals with suicidal …
families and society. Therefore, it is necessary to detect and help individuals with suicidal …
Suicidal ideation detection via social media analytics
Y Huang, X Liu, T Zhu - … : 5th International Conference, HCC 2019, Čačak …, 2019 - Springer
Suicide is one of the increasingly serious public health problems in modern society.
Traditional suicidal ideation detection using questionnaires or patients' self-report about …
Traditional suicidal ideation detection using questionnaires or patients' self-report about …
Towards a machine learning framework for suicide ideation detection in Twitter
A worldwide rise of number of individuals had been observed to commit suicide at young
age since 2019. With emergence of digital technologies, more suicides attempts were seen …
age since 2019. With emergence of digital technologies, more suicides attempts were seen …