Natural Language Processing en Psychologie

Natural Language Processing en Psychologie

50 articles disponibles

"Natural Language Processing" AND "Cults"
"Text Mining" AND "Deconversion"
"Social Media" AND "Religious Trauma"
"Reddit" AND "Mental Health" AND "Survivors"
"Sentiment Analysis" AND "Indoctrination"

Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data.

OBJECTIVES: Large language models (LLMs) face challenges in inductive thematic analysis, a task requiring deep interpretive, domain-specific expertise. We evaluated the feasibility of using LLMs to re…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Hairston, J., Ranjan, R., Lakamana, S., Spadaro, A., Bozkurt, S., Perrone, J., & Sarker, A. (2025). Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data.. JAMIA Open, 8(5), ooaf102. https://doi.org/10.1093/jamiaopen/ooaf102

Algorithms of emotion: A hybrid NLP analysis of neurodivergent Reddit communities.

Online communities such as Reddit offer neurodivergent individuals a unique space to express emotions, seek psychosocial support, and negotiate identity outside conventional social constraints. Unders…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Tunca, S. (2025). Algorithms of emotion: A hybrid NLP analysis of neurodivergent Reddit communities.. Acta Psychol (Amst), 260, 105519. https://doi.org/10.1016/j.actpsy.2025.105519

Public Engagement with Lung Cancer Screening Information: Topic Modeling of Lung Cancer-Related Reddit Posts.

Lung cancer screening (LCS) with low-dose computed tomography is an effective strategy for early detection and improved survival. Despite its clinical benefits, public engagement with LCS topic remain…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Jaiswal, A., Amin, S., Amin, S. M. S., Lee, D. N., Park, S. L., & Pokhrel, P. (2025). Public Engagement with Lung Cancer Screening Information: Topic Modeling of Lung Cancer-Related Reddit Posts.. Curr Oncol, 32(10). https://doi.org/10.3390/curroncol32100529

Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach.

BACKGROUND: Millions of people affected with complex medical conditions with diverse symptoms often turn to online discourse to share their experiences. While some studies have explored natural langua…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Hossain, B., Preum, S. M., Rabbi, M. F., Ara, R., & Ali, M. E. (2025). Extracting Symptoms of Complex Conditions From Online Discourse (Subreddit to Symptomatology): Lexicon-Based Approach.. JMIR Med Inform, 13, e70940. https://doi.org/10.2196/70940

Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study.

BACKGROUND: Xylazine has been associated with skin wounds. The rising prevalence of xylazine and its debated role in wound causation have sparked concerns among public health professionals, medical ex…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Spadaro, A., Hairston, J., Lakamana, S., Wightman, R., Love, J., Perrone, J., & Sarker, A. (2025). Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study.. JMIR Dermatol, 8, e70329. https://doi.org/10.2196/70329

Analyzing Depression in College Students Using NLP and Transformer Models: Implications for Career and Educational Counseling.

PURPOSE: Depression among college students is a growing concern that negatively affects academic performance, emotional well-being, and career planning. Existing diagnostic methods are often slow, sub…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Wan, Q., Pan, Y., & Zakeri, S. (2025). Analyzing Depression in College Students Using NLP and Transformer Models: Implications for Career and Educational Counseling.. Brain Behav, 15(9), e70828. https://doi.org/10.1002/brb3.70828

Assessing the accuracy and consistency of large language models in triaging social media posts for psychological distress.

Advances in artificial intelligence, particularly in natural language processing, offer promising tools for addressing mental health challenges in online contexts, potentially identifying at-risk indi…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Settanni, M., Quilghini, F., Toscano, A., & Marengo, D. (2025). Assessing the accuracy and consistency of large language models in triaging social media posts for psychological distress.. Psychiatry Res, 351, 116583. https://doi.org/10.1016/j.psychres.2025.116583

Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Pain-related discussions on social media provide valuable insights into how people naturally express and communicate their pain experiences. However, the network structure of these discussions remains…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Okui, N., & Horie, S. (2025). Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.. Sci Rep, 15(1), 29219. https://doi.org/10.1038/s41598-025-14680-y

Autism Spectrum Disorders Discourse on Social Media Platforms: A Topic Modeling Study of Reddit Posts.

Social media platforms play a crucial role in shaping public perceptions of neurodevelopmental conditions, such as autism spectrum disorders, by providing spaces for community interaction and content …

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Fong, S., Carollo, A., Vivanti, G., Messinger, D. S., Dimitriou, D., & Esposito, G. (2025). Autism Spectrum Disorders Discourse on Social Media Platforms: A Topic Modeling Study of Reddit Posts.. Autism Res, 18(8), 1608-1619. https://doi.org/10.1002/aur.70066

Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis.

BACKGROUND: The opioid crisis remains a critical public health challenge, with opioid use disorder (OUD) imposing significant societal and health care burdens. Web-based communities, such as the Reddi…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Chi, Y., Chen, H. Y., & Thaker, K. (2025). Self-Disclosure and Social Support in a Web-Based Opioid Recovery Community: Machine Learning Analysis.. JMIR Form Res, 9, e71207. https://doi.org/10.2196/71207

Mind the Gap: Social media analysis of 38,609 posts highlights discrepancies between clinical focus and patient priorities in neurosurgical care.

OBJECTIVE: To analyze social media discussions among cranial neurosurgical patients to identify prevalent concerns, emotional patterns, and quality of life impacts that may not be fully captured in tr…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Schneider, D., Brown, E. D. L., Ward, M., White, T. G., Eichberg, D. G., Sciubba, D. M., Lo, S. L., & Park, J. (2025). Mind the Gap: Social media analysis of 38,609 posts highlights discrepancies between clinical focus and patient priorities in neurosurgical care.. J Clin Neurosci, 137, 111334. https://doi.org/10.1016/j.jocn.2025.111334

Sentiment Analysis Using a Large Language Model-Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation.

BACKGROUND: The opioid crisis poses a significant health challenge in the United States, with increasing overdoses and death rates due to opioids mixed with other illicit substances. Various strategie…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Ahmad, M., Batyrshin, I., & Sidorov, G. (2025). Sentiment Analysis Using a Large Language Model-Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation.. JMIR Infodemiology, 5, e70525. https://doi.org/10.2196/70525