Alimenté par : Claudia (ADFI Alsace), Gaëlle (ADFI), Isabelle, Maïlé Onfray

Cet outil s'appuie sur PubMind

Un accès direct à la littérature scientifique via la base PubMed permettant de faciliter la veille sur les enjeux complexes de la santé mentale et du fait religieux : de la neuroscience des croyances à l'étude des abus spirituels, en passant par la prise en charge des traumatismes et des processus de déconversion.

Dernière synchronisation le 01/09/2026

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"

Social support detection from social media texts.

Social support, conveyed through a multitude of interactions and platforms such as social media, plays a pivotal role in fostering a sense of belonging, aiding resilience in the face of challenges, an…

Spiritualité Saine et Résilience Natural Language Processing en Psychologie
Ahani, Z., Shahiki, T. a. s. h. . M., Balouchzahi, F., Ramos, L., Sidorov, G., Gelbukh, A., & Monroy, R. L. (2026). Social support detection from social media texts.. PLoS One, 21(3), e0337476. https://doi.org/10.1371/journal.pone.0337476
01/01/2026 Lire →

On the interface between linguistics, computer science and psychiatry: analyzing textual key-factors affecting BERT-based classification of schizophrenia in social media texts.

INTRODUCTION: This paper investigates language impairments in schizophrenia (SZ) by analyzing the decision-making process of a transformer-based model in discriminating between texts produced by perso…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Miranda, E. . S. i. l. v. a. . J. V., Rodrigues, C., & Vital, B. r. a. z. i. l. . E. (2026). On the interface between linguistics, computer science and psychiatry: analyzing textual key-factors affecting BERT-based classification of schizophrenia in social media texts.. Front Artif Intell, 9, 1781552. https://doi.org/10.3389/frai.2026.1781552
01/01/2026 Lire →

Sentiment trajectory modeling in mental health discussions via transformer-based analysis.

INTRODUCTION: Social media platforms produce a constant stream of user-generated text, which holds promise as a source of useful information regarding population-level and individual mental health sta…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
U, S., Murugan, T. K., R, A. P., Govindaraj, L., & Prince, J. (2026). Sentiment trajectory modeling in mental health discussions via transformer-based analysis.. Front Artif Intell, 9, 1810552. https://doi.org/10.3389/frai.2026.1810552
01/01/2026 Lire →

Life after traumatic brain injury: A social media analysis revealing unmet needs.

Traumatic brain injury (TBI) and concussion present ongoing challenges in symptom management and care continuity. Traditional clinical methods may overlook key patient concerns during recovery. Social…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Brown, E. D. L., Silber, B., Obeng-Gyasi, B., Williams, G. M., Patel, S., Elsamadicy, A. A., Sciubba, D. M., Lo, S. L., & Schneider, D. (2025). Life after traumatic brain injury: A social media analysis revealing unmet needs.. Neuropsychol Rehabil, 1-17. https://doi.org/10.1080/09602011.2025.2600416
23/12/2025 Lire →

Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data.

BACKGROUND: Mobile apps are powerful tools for promoting and sustaining healthy behaviors, including supporting diverse recovery pathways from substance use, including alcohol use disorder. Indeed, pr…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Valdez, D., Heinrich, K. M., Collinson, B., Streetman, A., & Sloan, Z. (2025). Forging Online Community Among People in Recovery From Substance Use: Natural Language Processing and Deep-Learning Analysis of The Phoenix App User-Generated Data.. JMIR Mhealth Uhealth, 13, e68438. https://doi.org/10.2196/68438
19/12/2025 Lire →

Navigating parental concerns in children's engagement with roblox - a multi-method analysis of emotional and thematic patterns across online communities.

This study examines how parents engage with and make sense of their children's experiences on Roblox, one of the most widely used online gaming platforms for children. Drawing on Reddit comments from …

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Tunca, S. (2025). Navigating parental concerns in children's engagement with roblox - a multi-method analysis of emotional and thematic patterns across online communities.. BMC Psychol, 14(1), 84. https://doi.org/10.1186/s40359-025-03802-w
13/12/2025 Lire →

AI based sentiment analysis of online discussions related to cervical brachytherapy.

PURPOSE/OBJECTIVES: Few studies have documented the experiences of patients receiving cervical brachytherapy. While evidence regarding quality of life issues in this population has emerged, traditiona…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Kouzy, R., Rooney, M. K., Cha, E. E., Vinjamuri, S., Wu, H., Kouzi, Z. E., Mohamad, O., Sims, T. T., Weil, C. R., Taku, N., Lin, L. L., Jhingran, A., Eifel, P., Joyner, M., Colbert, L. E., & Klopp, A. H. (2025). AI based sentiment analysis of online discussions related to cervical brachytherapy.. Tech Innov Patient Support Radiat Oncol, 36, 100340. https://doi.org/10.1016/j.tipsro.2025.100340
01/12/2025 Lire →

Understanding patient perspectives in spine care: A social media analysis of 2,513 posts reveals distinct patterns in treatment perceptions.

BACKGROUND: As patients increasingly turn to social media for health information, understanding online patterns of social discourse around medical conditions has become increasingly crucial. This stud…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Schneider, D., Gluski, J., Brown, E. D. L., Mishra, A., Shah, H. A., Obeng-Gyasi, B., Sciubba, D. M., & Lo, S. L. (2025). Understanding patient perspectives in spine care: A social media analysis of 2,513 posts reveals distinct patterns in treatment perceptions.. J Clin Neurosci, 142, 111624. https://doi.org/10.1016/j.jocn.2025.111624
01/12/2025 Lire →

Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis.

BACKGROUND: Opioid overdose is a global public health emergency, with the United States experiencing high rates of morbidity and mortality due to prescription and illicit opioid use. Traditional publi…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Sidorov, G., Ahmad, M., Basile, P., Waqas, M., Orji, R., & Batyrshin, I. (2025). Monitoring Opioid-Related Social Media Chatter Using Natural Language Processing and Large Language Models: Temporal Analysis.. JMIR Infodemiology, 5, e77279. https://doi.org/10.2196/77279
04/11/2025 Lire →

Leveraging Reddit data for Context-enhanced Synthetic Health Data Generation to Identify Low Self Esteem.

Low self-esteem (LoST) is a latent yet critical psychosocial risk factor that predisposes individuals to depressive disorders. Although structured tools exist to assess self-esteem, their limited clin…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Garg, M., Liu, X., Jeon, E., Biernacka, J. M., Frye, M. A., Geda, Y. E., & Sohn, S. (2025). Leveraging Reddit data for Context-enhanced Synthetic Health Data Generation to Identify Low Self Esteem.. medRxiv. https://doi.org/10.1101/2025.10.15.25338111
17/10/2025 Lire →

Multi-modal deep-attention-BiLSTM based early detection of mental health issues using social media posts.

The rising prevalence of mental health disorders such as depression, anxiety, and bipolar disorder underscores the urgent need for effective tools to enable early detection and intervention. Social me…

Études fondées sur les communautés Reddit Natural Language Processing en Psychologie
Bin, S. a. e. e. d. . Q., & Cha, Y. (2025). Multi-modal deep-attention-BiLSTM based early detection of mental health issues using social media posts.. Sci Rep, 15(1), 35152. https://doi.org/10.1038/s41598-025-19141-0
08/10/2025 Lire →

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
01/10/2025 Lire →