Depression detection with machine learning of structural and non‐structural dual languages

Authors: Filza Rehmani, Qaisar Shaheen, Muhammad Anwar, Muhammad Faheem, Shahzad Sarwar Bhatti

Source: Healthc Technol Lett
Healthcare Technology Letters, Vol 11, Iss 4, Pp 218-226 (2024)

Subject Terms: languages, Artificial intelligence, Letter, Support vector machine, Economics, Macroeconomics, Social Sciences, 02 engineering and technology, Social psychology, Social media, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 10. No inequality, Applied Psychology, Depression, Depression (economics), healthcare, artificial intelligence, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, English language, World Wide Web, machine learning, Emotion Recognition, Physical Sciences, Digital Mental Health Interventions and Efficacy, Social Psychology, Depression Detection, 03 medical and health sciences, Feeling, Psychological Language Analysis in Social Media, Artificial Intelligence, Machine learning, Medical technology, FOS: Mathematics, R855-855.5, Natural language processing, Linguistics, Urdu, Computer science, Mathematics education, Philosophy, Sentiment Analysis and Opinion Mining, depression detection, Computer Science, FOS: Languages and literature, Mathematics, Random forest

Access URL: https://pubmed.ncbi.nlm.nih.gov/39100503
https://doaj.org/article/714a08c0ede54f0eab6a9e47f01fc121

The Impact of COVID-19 in Depression in Arab Twitter Users

Authors: Areej AlZoubi, Ahmad Alaiad, Khaled Alkhattib, Ahed J Alkhatib, Aseel Abu Aqoulah, Mohamad Alharoun, Almo'men Bellah Alawnah

Source: Information Sciences with Applications. 2:19-32

Subject Terms: History, Social Psychology, Economics, Macroeconomics, Social Sciences, Infectious disease (medical specialty), Psychological Language Analysis in Social Media, Virology, Pathology, Psychology, Disease, 10. No inequality, Applied Psychology, Depression (economics), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Outbreak, Computer science, 3. Good health, FOS: Psychology, Coronavirus disease 2019 (COVID-19), Clinical Psychology, Impact of COVID-19 on Mental Health, Internet privacy, Medicine, 2019-20 coronavirus outbreak, Digital Mental Health Interventions and Efficacy

Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios

Authors: Ismael Leonardo Mieles Toloza, Jesús Delgado Meza

Source: Revista Politécnica. 53:57-72

Subject Terms: Social Psychology, Psychological Language Analysis, Social Sciences, FOS: Humanities, 02 engineering and technology, Depression Detection, FOS: Philosophy, ethics and religion, FOS: Psychology, 03 medical and health sciences, Humanities, Philosophy, 0302 clinical medicine, Sentiment Analysis and Opinion Mining, Psychological Language Analysis in Social Media, Artificial Intelligence, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Natural Language Processing

Does structured informational care reduce anxiety in patients undergoing MRI? A quasi-experimental study

Authors: Binish Rasheed, Anila Rahim, Ghulam Murtaza, Habiba Quddusi, Zoobia Ramzan

Source: Journal of the Pakistan Medical Association. 73:1436-1439

Subject Terms: Adult, Male, Family medicine, Social Psychology, Neuroimaging Data Analysis, Cognitive Neuroscience, Social Sciences, Neuroimaging, Analysis of Brain Functional Connectivity Networks, Anxiety, Psychological Language Analysis in Social Media, Health Sciences, Humans, Psychology, Pakistan, Psychiatry, Life Sciences, Middle Aged, Diagnosis and Management of Alzheimer's Disease, Magnetic Resonance Imaging, 3. Good health, FOS: Psychology, Psychiatry and Mental health, Medicine, Female, Physical therapy, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/37469054

Fear of the Unknown: Narrative Analysis of Locally Stranded Individuals’ Experiences

Authors: Montaño, Darius E., Gidaya, Kristoffer Ryan T.

Source: European Modern Studies Journal; Vol. 7 No. 2 (2023); 47-53
Европейский журнал современных исследований; Том 7 № 2 (2023); 47-53
Європейський журнал сучасних досліджень; Том 7 № 2 (2023); 47-53

Subject Terms: Literature and Literary Theory, Social Psychology, Coping (psychology), Clinical psychology, The Role of Narrative in Persuasive Communication, Social Sciences, Infectious disease (medical specialty), Anxiety, Lived experience, Psychological Distress, locally stranded individuals, Social psychology, Interpretative phenomenological analysis, Psychological Impact, Narrative, Sociology, 5. Gender equality, well-being, Psychological Language Analysis in Social Media, Qualitative research, Pathology, Psychology, Disease, 10. No inequality, Pandemics, Narrative inquiry, pandemic, COVID-19, interpretative phenomenological analysis, Linguistics, Social science, FOS: Sociology, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Coronavirus disease 2019 (COVID-19), Clinical Psychology, Philosophy, Social Isolation, Impact of COVID-19 on Mental Health, Psychotherapist, FOS: Languages and literature, Superordinate goals, Medicine, Mental health, Arts and Humanities

File Description: application/pdf

Access URL: https://journal-ems.com/index.php/emsj/article/view/747

Machine Learning Driven Mental Stress Detection on Reddit Posts Using Natural Language Processing

Authors: Shaunak Inamdar, Rishikesh Chapekar, Shilpa Gite, Biswajeet Pradhan

Source: Hum-Cent Intell Syst
Human-Centric Intelligent Systems, Vol 3, Iss 2, Pp 80-91 (2023)

Subject Terms: Artificial intelligence, Social Psychology, ELMo embeddings, Text Mining, Stress analysis, Word embedding, Social Sciences, Information technology, Anxiety, Depression Detection, Social media, Psychological Language Analysis in Social Media, Artificial Intelligence, Computer security, Cognitive psychology, Machine learning, Psychology, 10. No inequality, Applied Psychology, Natural Language Processing, Psychiatry, Natural language processing, TF-IDF, QA75.5-76.95, Bag-of-words model, T58.5-58.64, Computer science, 3. Good health, FOS: Psychology, World Wide Web, Sentiment Analysis and Opinion Mining, Electronic computers. Computer science, Emotion Recognition, Computer Science, Physical Sciences, 8. Economic growth, Recall, Mental health, Anonymity, Social Media, Digital Mental Health Interventions and Efficacy, BERT, Research Article, Embedding

Access URL: https://doaj.org/article/f085f52f7ad1471a8ec17cd391ffb34c

Deep learning based depression detection from social media text

Authors: S. Anbukkarasi, S. Jeevapriya, A. Kaaviyaa, T. Lawvanyapriya, S. Monisha

Source: Applied and Computational Engineering. 2:657-663

Subject Terms: Artificial neural network, Artificial intelligence, Social Psychology, Social Sciences, Experimental and Cognitive Psychology, Anger, Depression Detection, Social psychology, Data science, Social media, Psychological Language Analysis in Social Media, Machine learning, Sadness, Aside, Psychology, Network Analysis of Psychopathology and Mental Disorders, 10. No inequality, Applied Psychology, Depression Symptoms, Psychiatry, Depression, Deep learning, Computer science, 3. Good health, FOS: Psychology, World Wide Web, Popularity, Literature, Digital Mental Health Interventions and Efficacy, Supervised learning, Art

NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data Augmentation

Authors: Abdessamad Benlahbib, Hamza Alami, Achraf Boumhidi, Omar Benslimane

Source: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). :121-124

Subject Terms: Artificial intelligence, Social Psychology, Psychological Language Analysis, Economics, Social Sciences, Speech recognition, Quantum mechanics, 7. Clean energy, Task (project management), 5. Gender equality, Psychological Language Analysis in Social Media, Artificial Intelligence, Sentiment Analysis, Psychology, Machine translation, 10. No inequality, Machine translation system, Natural Language Processing, Text Analysis, Transformer, Natural language processing, Physics, 4. Education, Statistical and Nonlinear Physics, Voltage, Computer science, Management, 3. Good health, FOS: Psychology, Sentiment Analysis and Opinion Mining, Physics and Astronomy, Computer Science, Physical Sciences, 8. Economic growth, Statistical Mechanics of Complex Networks, SemEval

Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach

Authors: Miryam Elizabeth Villa-Pérez, Luis A. Trejo, Maisha Binte Moin, Eleni Stroulia

Source: IEEE Access, Vol 11, Pp 128135-128152 (2023)

Subject Terms: Artificial intelligence, Support vector machine, Social Psychology, Psychological Language Analysis, social media, Twitter, Social Sciences, Convolutional neural network, Set (abstract data type), multiclass classification, Depression Detection, Social media, Psychological Language Analysis in Social Media, Artificial Intelligence, Machine learning, FOS: Mathematics, Psychology, Interpretability, Binary classification, 10. No inequality, Natural Language Processing, Psychiatry, Natural language processing, 4. Education, Statistics, Computer science, Timeline, TK1-9971, Programming language, 3. Good health, FOS: Psychology, World Wide Web, machine learning, Sentiment Analysis and Opinion Mining, Computer Science, Physical Sciences, Mental health, Electrical engineering. Electronics. Nuclear engineering, mental health disorders, Mathematics

Access URL: https://doaj.org/article/60aa3f121cd246169304f77e643d026e

Deep Learning for Depression Detection Using Twitter Data

Authors: Doaa Sami Khafaga, Maheshwari Auvdaiappan, K. Deepa, Mohamed Abouhawwash, Faten Khalid Karim

Source: Intelligent Automation & Soft Computing. 36:1301-1313

Subject Terms: Artificial neural network, Artificial intelligence, Support vector machine, Social Psychology, Feature (linguistics), Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Anger, Depression Detection, 7. Clean energy, Social media, Deep Learning, Psychological Language Analysis in Social Media, Artificial Intelligence, Machine learning, Sadness, Psychology, 10. No inequality, Psychiatry, Deep learning, Linguistics, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, World Wide Web, Philosophy, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Feature selection, FOS: Languages and literature, Supervised learning, Emotion Recognition and Analysis in Multimodal Data

An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts

Authors: Muskan Garg, Amirmohammad Shahbandegan, Amrit Chadha, Vijay Mago

Source: Findings of the Association for Computational Linguistics: ACL 2023. :11960-11969

Subject Terms: FOS: Computer and information sciences, Social Psychology, Personality Data, Psychological Language Analysis, Construct (python library), Social Sciences, Experimental and Cognitive Psychology, Applied psychology, Depression Detection, Interpersonal communication, Social psychology, Computer Science - Information Retrieval, Data science, Social media, Psychological Language Analysis in Social Media, Psychology, Network Analysis of Psychopathology and Mental Disorders, Applied Psychology, Psychiatry, Computer Science - Computation and Language, Psychometric Models, Computer science, 3. Good health, Programming language, FOS: Psychology, World Wide Web, Mental illness, Mental health, Computation and Language (cs.CL), Information Retrieval (cs.IR), Digital Mental Health Interventions and Efficacy

Access URL: http://arxiv.org/abs/2305.18727

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media

Authors: Mario Ezra Aragón, Adrián Pastor López Monroy, Luis González, David E. Losada, Manuel Montes

Source: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :15305-15318

Subject Terms: Cognitive science, Artificial intelligence, Social Psychology, Psychological Language Analysis, Social Sciences, Mathematical analysis, Social media, Psychological Language Analysis in Social Media, FOS: Mathematics, Psychology, Research Domain Criteria, 10. No inequality, Text Analysis, Domain adaptation, Adaptation (eye), Domain (mathematical analysis), Computer science, 3. Good health, FOS: Psychology, World Wide Web, 13. Climate action, Mental model, Psychotherapist, Mental health, Classifier (UML), Mathematics, Neuroscience

EliteVec: Feature Fusion for Depression Diagnosis Using Optimized Long Short-Term Memory Network

Authors: S. Kavi Priya, K. Karthika

Source: Intelligent Automation & Soft Computing. 36:1745-1766

Subject Terms: Artificial neural network, Artificial intelligence, Support vector machine, Social Psychology, Expressive Writing, Feature (linguistics), FOS: Political science, Social Sciences, Set (abstract data type), FOS: Law, Depression Detection, Psychological Language Analysis in Social Media, Artificial Intelligence, Machine learning, Psychology, 10. No inequality, Political science, Applied Psychology, Natural Language Processing, Hyperparameter, Depression, Natural language processing, Politics, Linguistics, Computer science, FOS: Philosophy, ethics and religion, Programming language, 3. Good health, FOS: Psychology, Softmax function, Philosophy, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Feature selection, FOS: Languages and literature, Word2vec, Representation (politics), Law, Digital Mental Health Interventions and Efficacy, Embedding

Ensemble Machine Learning Approach for Stress Detection in Social Media Texts

Authors: Maleeha Illahi

Source: Quaid-e-Awam University Research Journal of Engineering, Science & Technology. 20:123-128

Subject Terms: Artificial intelligence, Support vector machine, Social Psychology, FOS: Political science, Social Sciences, Logistic regression, FOS: Law, Boosting (machine learning), Depression Detection, Social media, Psychological Language Analysis in Social Media, Ensemble learning, Machine learning, Decision tree, Psychology, 10. No inequality, Political science, Applied Psychology, Text Analysis, Naive Bayes classifier, Natural language processing, Politics, Ensemble forecasting, Computer science, 3. Good health, FOS: Psychology, World Wide Web, Voting, Law, Digital Mental Health Interventions and Efficacy, Random forest

An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms

Authors: Shini Renjith, Annie Abraham, Surya B. Jyothi, Lekshmi R. Chandran, Jincy Thomson

Source: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9564-9575 (2022)

Subject Terms: Cognitive science, FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Social Sciences, 02 engineering and technology, Data science, Machine Learning (cs.LG), Social media, 0302 clinical medicine, Suicidal ideation, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Computer Science - Computation and Language, Computer Science - Social and Information Networks, FOS: Psychology, World Wide Web, Clinical Psychology, Emotion Recognition, Physical Sciences, Internet privacy, Medicine, LSTM, Computation and Language (cs.CL), CNN, Information Retrieval (cs.IR), Social Psychology, Medical emergency, Attention mechanism, Ideation, Poison control, Depression Detection, Computer Science - Information Retrieval, Suicidal Ideation, 03 medical and health sciences, Deep Learning, Suicide prevention, Psychological Language Analysis in Social Media, Artificial Intelligence, Ensemble learning, Machine learning, Suicidal Behavior and Prevention Strategies, Natural Language Processing, Social and Information Networks (cs.SI), Natural language processing, Deep learning, QA75.5-76.95, Computer science, Electronic computers. Computer science, Computer Science, Social Media

Access URL: http://arxiv.org/abs/2112.10609
https://doaj.org/article/94077510fb6f485d95968edaddf4b7fc
https://www.sciencedirect.com/science/article/pii/S1319157821003244

Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data

Authors: Ulya Bayram, Lamia Benhiba

Source: Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. :219-225

Subject Terms: Artificial intelligence, Social Psychology, Personality Data, Economics, Social Sciences, Logistic regression, Experimental and Cognitive Psychology, 02 engineering and technology, Speech recognition, Depression Detection, Leverage (statistics), Social psychology, Task (project management), Sentiment analysis, Psychological Language Analysis in Social Media, Cognitive psychology, Mood, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Network Analysis of Psychopathology and Mental Disorders, Emotion Dynamics, Natural language processing, Statistics, Psychometric Models, Statistical and Nonlinear Physics, Clinical Longitudinal Data, Deep learning, Autoencoder, Computer science, Timeline, Management, FOS: Psychology, Physics and Astronomy, Physical Sciences, Statistical Mechanics of Complex Networks, Mathematics

Access URL: https://avesis.comu.edu.tr/publication/details/315e4fc0-e0f2-4b40-9d2d-07312914e02f/oai

Leveraging the power of transformers for guilt detection in text

Authors: Abdul Gafar Manuel Meque, Jason Angel, Grigori Sidorov, Alexander Gelbukh

Subject Terms: Artificial intelligence, Social Psychology, Social Sciences, Experimental and Cognitive Psychology, Shame, Depression Detection, Social psychology, Engineering, Artificial Intelligence, Psychological Language Analysis in Social Media, Cognitive psychology, Machine learning, Psychology, Natural Language Processing, Transformer, Computer Science - Computation and Language, Emotion detection, Natural language processing, Voltage, Computer science, FOS: Psychology, Sentiment Analysis and Opinion Mining, Emotion Recognition, Electrical engineering, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data

Access URL: http://arxiv.org/abs/2401.07414

Wildfires and social media discourse: exploring mental health and emotional wellbeing through Twitter

Authors: Yury E. García, Miryam Elizabeth Villa-Pérez, Li Kuang, Xiao Hui Tai, Luis A. Trejo, Maria L. Daza–Torres, J. Cricelio Montesinos-López, Miriam Nuño

Source: Front Public Health
Frontiers in Public Health, Vol 12 (2024)

Subject Terms: Sociology and Political Science, Social Determinants of Health, Emotions, X (a.k.a Twitter), Social Sciences, wildfire, California, Wildfires, Social media, 0302 clinical medicine, 7.1 Individual care needs, 5. Gender equality, Psychology, Tubbs Fire, Psychiatry, Public health, Communication, 3. Good health, Health Disparities, FOS: Psychology, World Wide Web, Mental Health, sentiment analysis, Public Health and Health Services, Mental health, Public Health, Public aspects of medicine, RA1-1270, mental health, Social Psychology, topic modeling, Basic Behavioral and Social Science, 03 medical and health sciences, Psychological Language Analysis in Social Media, Health Services and Systems, Health Sciences, Behavioral and Social Science, Health services and systems, Crisis Communication and Social Media Use, Humans, 14. Life underwater, LIWC, 15. Life on land, Computer science, Good Health and Well Being, 13. Climate action, Community Resilience to Natural Disasters, wildfire emotional impact, Social Media

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/38680934
https://doaj.org/article/c927ab8d608942c4aa7d33350bb7f56d
https://escholarship.org/content/qt00h983s4/qt00h983s4.pdf
https://escholarship.org/uc/item/00h983s4

Quality of Media Reporting of Suicide in Nepal

Authors: Pallavi Sharma, Ravi Raj Timasina, Lokesh Singh Shekhawat, Shreeya Gyawali, Kedar Marahatta, S. M. Yasir Arafat

Source: Psychiatry J

Subject Terms: Family medicine, Social Psychology, Physiology, FOS: Political science, Medical emergency, Social Sciences, Smoking Cessation and Health Effects of Tobacco, Poison control, FOS: Law, 03 medical and health sciences, Suicide prevention, 0302 clinical medicine, Psychological Language Analysis in Social Media, Health Sciences, Pathology, Psychology, Suicidal Behavior and Prevention Strategies, Political science, 16. Peace & justice, Newspaper, Mathematics education, 3. Good health, FOS: Psychology, English language, Clinical Psychology, Suicide, Occupational safety and health, FOS: Biological sciences, Medicine, Law, Research Article

File Description: text/xhtml

Access URL: https://pubmed.ncbi.nlm.nih.gov/35845252

Determining a Person’s Suicide Risk by Voting on the Short-Term History of Tweets for the CLPsych 2021 Shared Task

Authors: Ulya Bayram, Lamia Benhiba

Source: Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access. :81-86

Subject Terms: Artificial intelligence, Social Psychology, Psychological Language Analysis, False positive paradox, FOS: Political science, Medical emergency, Social Sciences, Poison control, FOS: Law, 02 engineering and technology, Quantum mechanics, Term (time), Systems engineering, Task (project management), 03 medical and health sciences, Suicide prevention, Engineering, 0302 clinical medicine, Psychological Language Analysis in Social Media, Artificial Intelligence, Suicidal ideation, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Suicidal Behavior and Prevention Strategies, Event (particle physics), Political science, Physics, Politics, Computer science, FOS: Psychology, Clinical Psychology, Sentiment Analysis and Opinion Mining, Computer Science, Physical Sciences, Medicine, Voting, Law

Access URL: https://www.aclweb.org/anthology/2021.clpsych-1.8.pdf
https://avesis.comu.edu.tr/publication/details/66d083a8-4997-47e2-b725-1ce157c2bccc/oai