Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at, first published .
Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis

Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis

Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis


  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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 2020 View
  8. 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
  9. Wen S. Detecting Depression from Tweets with Neural Language Processing. Journal of Physics: Conference Series 2021;1792(1):012058 View

Books/Policy Documents

  1. Zhao Y, Prosperi M, Lyu T, Guo Y, Zhou L, Bian J. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices. View
  2. Varga J, Lezama O, Payares K. Proceedings of International Conference on Intelligent Computing, Information and Control Systems. View