专题：Mental Health via Writing

This cluster of papers focuses on the analysis of psychological language in social media, particularly related to emotional disclosure, mental health, and expressive writing. It involves the use of natural language processing and machine learning techniques to detect and understand patterns of depression, suicidal ideation, and other mental health indicators in online communication.
最新文献
近5年高被引文献
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

conference-paper Full Text OpenAlex 644 FWCI322.7536

Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being

review Full Text OpenAlex 523 FWCI16.4487

Natural language processing applied to mental illness detection: a narrative review

review Full Text OpenAlex 450 FWCI20.1799

An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews

article Full Text OpenAlex 377 FWCI56.4487

Almanac — Retrieval-Augmented Language Models for Clinical Medicine

article Full Text OpenAlex 369 FWCI30.7657

Using large language models in psychology

article Full Text OpenAlex 327 FWCI41.6379

Risk factors for suicide in adults: systematic review and meta-analysis of psychological autopsy studies

review Full Text OpenAlex 311 FWCI11.8028

A Review of Machine Learning and Deep Learning Approaches on Mental Health Diagnosis

article Full Text OpenAlex 273 FWCI71.6312

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

conference-paper Full Text OpenAlex 256 FWCI128.246

Deep Learning for Depression Detection from Textual Data

article Full Text OpenAlex 246 FWCI43.1577