Using large language models in psychology
Large language models (LLMs), such as OpenAI's GPT-4, Google's Bard or Meta's LLaMa,
have created unprecedented opportunities for analysing and generating language data on a …
have created unprecedented opportunities for analysing and generating language data on a …
Application of machine learning in intelligent fish aquaculture: A review
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …
technology has been extensively applied in aquaculture in recent years, providing a new …
Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
A fundamental goal of scientific research is to learn about causal relationships. However,
despite its critical role in the life and social sciences, causality has not had the same …
despite its critical role in the life and social sciences, causality has not had the same …
Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
Deep learning techniques for suicide and depression detection from online social media: A sco** review
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …
neglected public health issues. Depression is the most common mental health issue and the …
Detecting mental distresses using social behavior analysis in the context of covid-19: A survey
Online social media provides a channel for monitoring people's social behaviors from which
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
to infer and detect their mental distresses. During the COVID-19 pandemic, online social …
What users' musical preference on Twitter reveals about psychological disorders
Previous research found a strong relation between the users' psychological disorders and
their language use in social media posts in terms of vocabulary selection, emotional …
their language use in social media posts in terms of vocabulary selection, emotional …
Xai transformer based approach for interpreting depressed and suicidal user behavior on online social networks
Online social networks can be used for mental healthcare monitoring using Artificial
Intelligence and Machine Learning techniques for detecting various mental health disorders …
Intelligence and Machine Learning techniques for detecting various mental health disorders …
Boamente: A Natural Language Processing-Based Digital Phenoty** Tool for Smart Monitoring of Suicidal Ideation
People at risk of suicide tend to be isolated and cannot share their thoughts. For this reason,
suicidal ideation monitoring becomes a hard task. Therefore, people at risk of suicide need …
suicidal ideation monitoring becomes a hard task. Therefore, people at risk of suicide need …
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …