A comprehensive survey on sentiment analysis: Approaches, challenges and trends
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …
Methods in predictive techniques for mental health status on social media: a critical review
S Chancellor, M De Choudhury - NPJ digital medicine, 2020 - nature.com
Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …
outcomes. Computer scientists are now using quantitative techniques to predict the …
Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
Natural language processing of social media as screening for suicide risk
G Coppersmith, R Leary… - Biomedical informatics …, 2018 - journals.sagepub.com
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Depression detection from social network data using machine learning techniques
Purpose Social networks have been developed as a great point for its users to communicate
with their interested friends and share their opinions, photos, and videos reflecting their …
with their interested friends and share their opinions, photos, and videos reflecting their …
Artificial intelligence and suicide prevention: a systematic review of machine learning investigations
Suicide is a leading cause of death that defies prediction and challenges prevention efforts
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means …
[HTML][HTML] Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …
to measure human function in health and disease has generated significant research …
Suicidal ideation detection: A review of machine learning methods and applications
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …
Using social media for mental health surveillance: a review
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …
data may also support standard surveillance approaches and provide decision-makers with …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …