Quantifying the Language of Schizophrenia in Social Media

2nd Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, CLPsych 2015 - Proceedings of the Workshop

Volumn , Issue , 2015, Pages 11-20

  Mitchell, Margaret ^a   Hollingshead, Kristy ^b   Coppersmith, Glen ^c  

^a MICROSOFT   (United States)

^b IHMC

^c Qntfy   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE);

CONDITION; LINGUISTIC SIGNALS; MENTAL HEALTH; PROCESSING METHOD; SOCIAL MEDIA;

DISEASES;

EID: 85122838501     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. American Psychiatric Association. 2013. Diagnostic and Statistical Manual of Mental Disorders (5th Edition). Arlington, VA: American Psychiatric Publishing.
2. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993–1022, March.
3. Peter F. Brown, Peter V. deSouza, Robert L. Mercer, Vincent J. Della Pietra, and Jenifer C. Lai. 1992. Class-based n-gram models of natural language. Computational Linguistics, 18(4):467–479, December.
4. Glen Coppersmith, Mark Dredze, and Craig Harman. 2014a. Quantifying mental health signals in Twitter. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology.
5. Glen Coppersmith, Craig Harman, and Mark Dredze. 2014b. Measuring post traumatic stress disorder in Twitter. In Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM).
6. Munmun De Choudhury, Scott Counts, and Michael Gamon. 2011. Not all moods are created equal! Exploring human emotional states in social media. In Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM).
7. Munmun De Choudhury, Scott Counts, and Eric Horvitz. 2013a. Social media as a measurement tool of depression in populations. In Proceedings of the 5th ACM International Conference on Web Science.
8. Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz. 2013b. Predicting depression via social media. In Proceedings of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM).
9. Virgile Landeiro Dos Reis and Aron Culotta. 2015. Using matched samples to estimate the effects of exercise on mental health from Twitter. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence.
10. H. Häfner and K. Maurer. 2006. Early detection of schizophrenia: current evidence and future perspectives. World Psychiatry, 5(3):130–138.
11. Elizabeth Hohman, David Marchette, and Glen Coppersmith. 2014. Mental health, economics, and population in social media. In Proceedings of the Joint Statistical Meetings.
12. Christine Howes, Matthew Purver, and Rose McCabe. 2014. Linguistic indicators of severity and progress in online text-based therapy for depression. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology.
13. Ronald C. Kessler, Olga Demler, Richard G. Frank, Mark Olfson, Harold Alan Pincus, Ellen E. Walters, Philip Wang, Kenneth B. Wells, and Alan M. Zaslavsky. 2005. Prevalence and treatment of mental disorders, 1990 to 2003. New England Journal of Medicine, 352(24):2515–2523.
14. Andrew Kachites McCallum. 2002. MALLET: A machine learning for language toolkit. http://mallet.cs.umass.edu. [Online; accessed 2015-03-02].
15. Paul McNamee and James Mayfield. 2004. Character n-gram tokenization for European language text retrieval. Information Retrieval, 7(1-2):73–97.
16. Shashwath A. Meda, Adrienne Gill, Michael C. Stevens, Raymond P. Lorenzoni, David C. Glahn, Vince D. Calhoun, John A. Sweeney, Carol A. Tamminga, Matcheri S. Keshavan, Gunvant Thaker, et al. 2012. Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives. Biological Psychiatry, 71(10):881–889.
17. National Alliance on Mental Illness. 2015. Schizophrenia. http://www.nami.org/Learn-More/MentalHealth-Conditions/Schizophrenia. [Online; accessed 2015-03-10].
18. Thin Nguyen, Dinh Phung, Bo Dao, Svetha Venkatesh, and Michael Berk. 2014. Affective and content analysis of online depression communities. IEEE Transactions on Affective Computing, 5(3):217–226.
19. Sylvester Olubolu Orimaye, Jojo Sze-Meng Wong, and Karen Jennifer Golden. 2014. Learning predictive linguistic features for Alzheimer’s disease and related dementias using verbal utterances. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology.
20. Pacific Institute of Medical Research. 2015. Common schizophrenia symptoms. http://www.pacificmedresearch.com/commonschizophrenia-symptoms/. [Online; accessed 2015-03-10].
21. Greg Park, H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, David J. Stillwell, Michal Kosinski, Lyle H. Ungar, and Martin E. P. Seligman. In press. Automatic personality assessment through social media language. Journal of Personality and Social Psychology.
22. Fabian Pedregosa, Gaël Varoquaux, Alexandre Gram-fort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, and Matthieu Perrot Édouard Duchesnay. 2011. scikit-learn: Machine learning in Python. The Journal of Machine Learning Research, 12:2825–2830.
23. James W. Pennebaker, Cindy K. Chung, Molly Ireland, Amy Gonzales, and Roger J. Booth. 2007. The development and psychometric properties of LIWC2007. LIWC.net, Austin, TX.
24. Jonna Perälä, Jaana Suvisaari, Samuli I. Saarni, Kimmo Kuoppasalmi, Erkki Isometsä, Sami Pirkola, Timo Partonen, Annamari Tuulio-Henriksson, Jukka Hintikka, Tuula Kieseppä, et al. 2007. Lifetime prevalence of psychotic and bipolar I disorders in a general population. Archives of General Psychiatry, 64(1):19–28.
25. Philip Resnik, Anderson Garron, and Rebecca Resnik. 2013. Using topic modeling to improve prediction of neuroticism and depression. In Proceedings of the 2013 Conference on Empirical Methods in Natural, pages 1348–1353.
26. Bonnie L. Rickelman. 2004. Anosognosia in individuals with schizophrenia: Toward recovery of insight. Issues in Mental Health Nursing, 25:227–242.
27. Brian Roark, Margaret Mitchell, John-Paul Hosom, Kristy Hollingshead, and Jeffrey A. Kaye. 2011. Spoken language derived measures for detecting mild cognitive impairment. IEEE Transactions on Audio, Speech & Language Processing, 19(7):2081–2090.
28. Masoud Rouhizadeh, Emily Prud’hommeaux, Jan van Santen, and Richard Sproat. 2014. Detecting linguistic idiosyncratic interests in autism using distributional semantic models. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology.
29. Sukanta Saha, David Chant, Joy Welham, and John Mc-Grath. 2005. A systematic review of the prevalence of schizophrenia. PLoS medicine, 2(5):e141.
30. Maarten Sap, Greg Park, Johannes C. Eichstaedt, Margaret L. Kern, David J. Stillwell, Michal Kosinski, Lyle H. Ungar, and H. Andrew Schwartz. 2014. Developing age and gender predictive lexica over social media. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1146–1151.
31. H. Andrew Schwartz, Johannes C. Eichstaedt, Margaret L. Kern, Lukasz Dziurzynski, Richard E. Lucas, Megha Agrawal, Gregory J. Park, Shrinidhi K. Lakshmikanth, Sneha Jha, Martin E. P. Seligman, and Lyle H. Ungar. 2013. Characterizing geographic variation in well-being using tweets. In Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM).
32. H. Andrew Schwartz, Johannes Eichstaedt, Margaret L. Kern, Gregory Park, Maarten Sap, David Stillwell, Michal Kosinski, and Lyle Ungar. 2014. Towards assessing changes in degree of depression through Face-book. In Proceedings of the ACL Workshop on Computational Linguistics and Clinical Psychology.
33. The National Institute of Mental Health. 2015. Schizophrenia. http://www.nimh.nih.gov/health/topics/schizophrenia. [Online; accessed 2015-03-04].