Published on in Vol 21, No 6 (2019): June
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/14199, first published
.
Journals
- Ramírez-Cifuentes D, Freire A, Baeza-Yates R, Puntí J, Medina-Bravo P, Velazquez D, Gonfaus J, Gonzàlez J. Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis. Journal of Medical Internet Research 2020;22(7):e17758 View
- Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
- Garcia-Rudolph A, Saurí J, Cegarra B, Bernabeu Guitart M. Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit. JMIR Medical Informatics 2020;8(11):e17903 View
- Ávila-Tomás J, Mayer-Pujadas M, Quesada-Varela V. La inteligencia artificial y sus aplicaciones en medicina II: importancia actual y aplicaciones prácticas. Atención Primaria 2021;53(1):81 View
- Garg S, Raigosa A, Aiman R. Investigating differential linguistic patterns exhibited by Major Depressive Disorder (MDD) Patients and building a Long Short Term Memory Network + Convolutional Neural Network Model, Logistic Regression model, and a Multinomial Naive Bayes Classifier Algorithm to develop Spero, a hybrid app based Early-MDD diagnosis system. International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2020:114 View
- Leis A, Ronzano F, Mayer M, Furlong L, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920 View
- Merz A, Gutiérrez-Sacristán A, Bartz D, Williams N, Ojo A, Schaefer K, Huang M, Li C, Sandoval R, Ye S, Cathcart A, Starosta A, Avillach P. Population attitudes toward contraceptive methods over time on a social media platform. American Journal of Obstetrics and Gynecology 2021;224(6):597.e1 View
- Kelly D, Spaderna M, Hodzic V, Nair S, Kitchen C, Werkheiser A, Powell M, Liu F, Coppersmith G, Chen S, Resnik P. Blinded Clinical Ratings of Social Media Data are Correlated with In-Person Clinical Ratings in Participants Diagnosed with Either Depression, Schizophrenia, or Healthy Controls. Psychiatry Research 2020;294:113496 View
- Wen S. Detecting Depression from Tweets with Neural Language Processing. Journal of Physics: Conference Series 2021;1792(1):012058 View
- HUANG G, ZHOU X. The linguistic patterns of depressed patients. Advances in Psychological Science 2021;29(5):838 View
- Ramírez-Cifuentes D, Freire A, Baeza-Yates R, Sanz Lamora N, Álvarez A, González-Rodríguez A, Lozano Rochel M, Llobet Vives R, Velazquez D, Gonfaus J, Gonzàlez J. Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis. Journal of Medical Internet Research 2021;23(7):e25925 View
- Cohrdes C, Yenikent S, Wu J, Ghanem B, Franco-Salvador M, Vogelgesang F. Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data. JMIR Mental Health 2021;8(6):e27140 View
- Zhou J, Zogan H, Yang S, Jameel S, Xu G, Chen F. Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Transactions on Computational Social Systems 2021;8(4):982 View
- Wongkoblap A, Vadillo M, Curcin V. Deep Learning With Anaphora Resolution for the Detection of Tweeters With Depression: Algorithm Development and Validation Study. JMIR Mental Health 2021;8(8):e19824 View
- Cuerda C, Zornoza A, Gallud J, Tesoriero R, Ayuso D. Deep learning assisted cognitive diagnosis for the D-Riska application. Soft Computing 2022;26(2):665 View
- Koops S, Brederoo S, de Boer J, Nadema F, Voppel A, Sommer I. Speech as a Biomarker for Depression. CNS & Neurological Disorders - Drug Targets 2023;22(2):152 View
- Sierra G, Andrade-Palos P, Bel-Enguix G, Osornio-Arteaga A, Cabrera-Mora A, García-Nieto L, Sierra-Aparicio T. Suicide Risk Factors: A Language Analysis Approach in Social Media. Journal of Language and Social Psychology 2022;41(3):312 View
- Kelley S, Gillan C. Using language in social media posts to study the network dynamics of depression longitudinally. Nature Communications 2022;13(1) View
- Han J, Feng Y, Li N, Feng L, Xiao L, Zhu X, Wang G. Correlation Between Word Frequency and 17 Items of Hamilton Scale in Major Depressive Disorder. Frontiers in Psychiatry 2022;13 View
- Kelley S, Mhaonaigh C, Burke L, Whelan R, Gillan C. Machine learning of language use on Twitter reveals weak and non-specific predictions. npj Digital Medicine 2022;5(1) View
- Pilipiec P, Samsten I, Bota A, Rocha L. Surveillance of communicable diseases using social media: A systematic review. PLOS ONE 2023;18(2):e0282101 View
- Razia Sulthana A. , Jaithunbi A. K. , Harikrishnan H, Varadarajan V. Sentiment Analysis on Movie Reviews Dataset Using Support Vector Machines and Ensemble Learning. International Journal of Information Technology and Web Engineering 2022;17(1):1 View
- Salas-Zárate R, Alor-Hernández G, Salas-Zárate M, Paredes-Valverde M, Bustos-López M, Sánchez-Cervantes J. Detecting Depression Signs on Social Media: A Systematic Literature Review. Healthcare 2022;10(2):291 View
- Savekar A, Tarai S, Singh M. Structural and functional markers of language signify the symptomatic effect of depression: A systematic literature review. European Journal of Applied Linguistics 2023;11(1):190 View
- Zhang Y, Lyu H, Liu Y, Zhang X, Wang Y, Luo J. Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study. JMIR Infodemiology 2021;1(1):e26769 View
- Lyu S, Ren X, Du Y, Zhao N. Detecting depression of Chinese microblog users via text analysis: Combining Linguistic Inquiry Word Count (LIWC) with culture and suicide related lexicons. Frontiers in Psychiatry 2023;14 View
- Zarate D, Stavropoulos V, Ball M, de Sena Collier G, Jacobson N. Exploring the digital footprint of depression: a PRISMA systematic literature review of the empirical evidence. BMC Psychiatry 2022;22(1) View
- Santos W, de Oliveira R, Paraboni I. SetembroBR: a social media corpus for depression and anxiety disorder prediction. Language Resources and Evaluation 2024;58(1):273 View
- Dias L, Vianna H, Barbosa J. Human behaviour data analysis and noncommunicable diseases: a systematic mapping study. Behaviour & Information Technology 2023;42(14):2485 View
- Liu J, Shi M. A Hybrid Feature Selection and Ensemble Approach to Identify Depressed Users in Online Social Media. Frontiers in Psychology 2022;12 View
- Pilipiec P, Liwicki M, Bota A. Using Machine Learning for Pharmacovigilance: A Systematic Review. Pharmaceutics 2022;14(2):266 View
- Sheoran H, Srivastava P. Self-Reported Depression Is Associated With Aberration in Emotional Reactivity and Emotional Concept Coding. Frontiers in Psychology 2022;13 View
- Pan W, Han Y, Li J, Zhang E, He B. The positive energy of netizens: development and application of fine-grained sentiment lexicon and emotional intensity model. Current Psychology 2023;42(32):27901 View
- Tejaswini V, Sathya Babu K, Sahoo B. Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model. ACM Transactions on Asian and Low-Resource Language Information Processing 2024;23(1):1 View
- Cai Y, Wang H, Ye H, Jin Y, Gao W. Depression detection on online social network with multivariate time series feature of user depressive symptoms. Expert Systems with Applications 2023;217:119538 View
- Abu-Taieh E, AlHadid I, Masa’deh R, Alkhawaldeh R, Khwaldeh S, Alrowwad A. Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM. International Journal of Environmental Research and Public Health 2022;19(21):13764 View
- A. Musleh D, A. Alkhales T, A. Almakki R, E. Alnajim S, K. Almarshad S, S. Alhasaniah R, S. Aljameel S, A. Almuqhim A. Twitter Arabic Sentiment Analysis to Detect Depression Using Machine Learning. Computers, Materials & Continua 2022;71(2):3463 View
- Meena R, Thulasi Bai V. Depression Detection on COVID 19 Tweets Using Chimp Optimization Algorithm. Intelligent Automation & Soft Computing 2022;34(3):1643 View
- Barreto L, Freitas V, Paula V. Emotional branding e engajamento do consumidor em tempos de pandemia em redes sociais. Revista Eletrônica de Ciência Administrativa 2023;22(1):112 View
- Shi J, Khoo Z. Online health community for change: Analysis of self-disclosure and social networks of users with depression. Frontiers in Psychology 2023;14 View
- Pool-Cen J, Carlos-Martínez H, Hernández-Chan G, Sánchez-Siordia O. Detection of Depression-Related Tweets in Mexico Using Crosslingual Schemes and Knowledge Distillation. Healthcare 2023;11(7):1057 View
- Chen L, Jeong J, Simpkins B, Ferrara E. Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions. Journal of Medical Internet Research 2023;25:e43439 View
- Ryu J, Heisig S, McLaughlin C, Katz M, Mayberg H, Gu X. A natural language processing approach reveals first-person pronoun usage and non-fluency as markers of therapeutic alliance in psychotherapy. iScience 2023;26(6):106860 View
- Aleman-Zambrano G, Del Carpio-Lazo M, Mendiguri-Chávez D, Vilchez-Silva D, Tejada Toledo F. Modelo de clasificación de depresión en Tweets usando BERT. Innovación y Software 2023;4(2):6 View
- Marszałek M, Miązek A, Roczniewska M, Letina S. Promotion and prevention regulatory focus LIWC dictionary. Polish adaptation and validation. PLOS ONE 2023;18(7):e0288726 View
- Shi J, Khoo Z. Words for the hearts: a corpus study of metaphors in online depression communities. Frontiers in Psychology 2023;14 View
- Villa-Pérez M, Trejo L, Moin M, Stroulia E. Extracting Mental Health Indicators From English and Spanish Social Media: A Machine Learning Approach. IEEE Access 2023;11:128135 View
- Xu C, Wongpakaran N, Wongpakaran T, Siriwittayakorn T, Wedding D, Varnado P. Syntactic Errors in Older Adults with Depression. Medicina 2023;59(12):2133 View
- Królak A, Wiktorski T, Żmudzińska A. Automatic analysis of X (Twitter) data for supporting depression diagnosis. Human Technology 2023;19(3):370 View
- Xu X, An F, Wu S, Wang H, Kang Q, Wang Y, Zhu T, Zhang B, Huang W, Liu X, Wang X. Affective norms for 501 Chinese words from three emotional dimensions rated by depressive disorder patients. Frontiers in Psychiatry 2024;15 View
- Salmerón-Ríos A, García-Díaz J, Pan R, Valencia-García R. Fine grain emotion analysis in Spanish using linguistic features and transformers. PeerJ Computer Science 2024;10:e1992 View
- Salas-Zárate R, Alor-Hernández G, Paredes-Valverde M, Salas-Zárate M, Bustos-López M, Sánchez-Cervantes J. Mental-Health: An NLP-Based System for Detecting Depression Levels through User Comments on Twitter (X). Mathematics 2024;12(13):1926 View
- Al-Haider M, Qamar A, Alkahtani H, Ahmad H. Classification of Obsessive-Compulsive Disorder Symptoms in Arabic Tweets Using Machine Learning and Word Embedding Techniques. Journal of Advances in Information Technology 2024;15(7):798 View
- Kapitány-Fövény M, Vetró M, Révy G, Fabó D, Szirmai D, Hullám G. EEG based depression detection by machine learning: Does inner or overt speech condition provide better biomarkers when using emotion words as experimental cues?. Journal of Psychiatric Research 2024;178:66 View
- Alemán Acuña R, Pereira Montiel E, Torres Silva E, Montoya Arenas D. Procesamiento de lenguaje natural en la Salud Mental: Revisión de alcance. Revista Iberoamericana de Psicología 2024;17(2):11 View
- Gualberto A, Montalvão J. Características para detecção de depressão com dados do Twitter. Journal of Health Informatics 2024;16(Especial) View
- Chandrasekaran R, Kotaki S, Nagaraja A. Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study. npj Mental Health Research 2024;3(1) View
Books/Policy Documents
- Zhao Y, Prosperi M, Lyu T, Guo Y, Zhou L, Bian J. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. View
- Varga J, Lezama O, Payares K. Proceedings of International Conference on Intelligent Computing, Information and Control Systems. View
- Gimeno-Gómez D, Bucur A, Cosma A, Martínez-Hinarejos C, Rosso P. Advances in Information Retrieval. View
- Gaysynsky A, Heley K, Chou W. The Handbook of Language in Public Health and Healthcare. View