5. Conclusion
5.4. Future directions
The current research has presented preliminary findings on certain linguistic features that distinguish peer-to-peer communication from patient-to-provider
consultation, such as the patients’ frequent use of colloquial function words, monologue, and unanswerable puzzle. Such conclusions can be more firmly substantiated through further control experiments. Discourse data regarding professional and peer
communication in another domain other than depression should be included in future work to ensure that differences discovered in the current study are indeed
depression-specific rather than universal to all professional and peer discussion contexts.
As has been stated earlier, the objective of the present study is to probe into the discourse themes crucial to the depressed community when they communicate with experts and peers respectively via the Internet. The study has examined and compared several conversation topics that patients are inclined to address in professional
counselling and peer communication. However, due to the scope of research, the current research has not yet touched upon the specific language employed by people with clinical depression to depict each of the nine cardinal signs specified in DSM-V manual.
Furthermore, in order to engender practical development in clinical diagnosis of
the disorder, it is essential for future studies to include, possibly multimodal, real-world patient-doctor and peer-to-peer communication data, which can help to better reflect the actual scenarios in which depression discourses take place. By observing how the nine critical depressive symptoms delineated in DSM-V are lexicalized in the language of the depressed and how communication over depression really proceeds in clinical
encounters, it is hope that the depressed community’s physical symptoms and mental discomfort can be further understood and assisted with in both in online counselling and real-time clinical visits.
References
Alison, J. & Burgess, C. (2003). Effects of chronic non-clinical depression on the use of positive and negative words in language contexts. Brain and Cognition, 53, 125-128.
American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Publishing.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). doi:10.1176/appi.books.9780890423349
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
Andreasen, N. J., & Pfohl, B. (1976). Linguistic analysis of speech in affective disorders. Archives of General Psychiatry, 33(11), 1361-1367.
doi:10.1001/archpsyc.1976.01770110089009
Arden, J. B., & Linford. L. (2009). Brain-Based Therapy with Adults: Evidence-Based Treatment for Everyday Practice. New Jersey: John Wiley & Sons, Inc.
Artstein, R., & Poesio, M. (2008). Inter-coder agreement for computational linguistics. Computational Linguistics, 34(4), 555-596.
Atkins, D. C., Rubin, T. N., Steyvers, M., Doeden, M. A., Baucom, B. R., &
Christensen, A. (2012). Topic models: A novel method for modeling couple and family text data. Journal of Family Psychology, 26(5), 816-826.
doi:10.1037/a0029607.
Bedi, G., Carrillo, F., Cecchi, G. A., Slezak, D. F., Sigman, M., Mota, N. B., Ribeiro, S., Javitt, D. C., Copelli, M., & Corcoran, C. M. (2015). Automated analysis of free speech predicts psychosis onset in high-risk youths. npj Schizophrenia, 1, 15030.
Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84.
Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022.
Chen, Keh-Jiann, Chu-Ren Huang, Li-Ping Chang & Hui-Li Hsu. (1996). Sinica corpus: Design methodology for balanced corpora. In Proceedings of the 11th Pacific Asia Conference on Language, Information, and Computation
(PACLIC 11), Seoul, Korea, pp. 167-176.
Cheng, T.-A. (1995). Mental illness and suicide. Archives of General Psychiatry, 52, 594-603.
Chinese Knowledge Information Processing team. (1998). Introduction to Sinica Corpus: A tagged balance corpus for Mandarin Chinese. Taipei, Taiwan (R.O.C.): Academia Sinica.
Chong, M.-Y. (1992). The six-year follow-up study of minor psychiatric morbidity in the community in Taiwan. PhD dissertation, University of London.
Chong, M.-Y., & Cheng, T.-A. (1995). Suicidal behaviour observed in Taiwan: Trends over four decades. In Chinese society and Mental Health (eds. T.-Y., Lin, W.-S., Teng, & E.-K., Yeh), pp, 209-218. Hong Kong: Oxford University
Press.
Chong, M.-Y., Tsang, H.-Y., Chen, C.-S., Tang, T.-C., Chen, C.-C., Yeh, T.-T., Lee, Y.-H., & Lo, H.-Y. (2001). Community study of depression in old age in Taiwan: Prevalence, life events and socio-demographic correlates. The British Journal of Psychiatry, 178(1), 29-35. doi:10.1192/bjp.178.1.29
Dönges, J. (2009). You are what you say. Scientific American Mind, 20(4), 14-15.
doi:10.1038/scientificamericanmind0709-14
Drew, M. L., Dobson, K. S., & Stam, H. J. (1999). The negative self-concept in clinical depression: A discourse analysis. Canadian Psychology, 40(2), 192.
Elderkin-Thompson, V., Mintz, J., Haroon, E., Lavretsky, H., & Kumar, A. (2007).
Executive dysfunction and memory in older patients with major and minor depression. Archives of Clinical Neuropsychology, 22, 261-270.
Fitzgerald, P. B., Laird, A. R., Maller, J. & Daskalakis, Z. J. (2008). A meta-analytic study of changes in brain activation in depression. Human Brain Mapping, 29, 683-695.
Fu, S.-T., Lee, C.-S., Gunnell, D., Lee, W.-C., & Cheng, T.-A. (2012). Changing trends in the prevalence of common mental disorders in Taiwan: A 20-year repeated cross-sectional survey. The Lancet, 381(9862), 235-241.
doi:10.1016/S0140-6736(12)61264-1
Heigham, J., & Croker, R. (Eds.). (2009). Qualitative research in applied linguistics:
A practical introduction. Springer.
Henry, J. D. & Crawford, J. R. (2005). A meta-analytic review of verbal fluency deficits in depression. Journal of Clinical and Experimental Neuropsychology, 27, 78-101.
Herrington, H. D., Heller, W., Mohanty, A., Engels, A. S., Banich, M. T., Webb, A, G.,
& Miller, G. A. (2010). Localization of asymmetric brain function in emotion and depression. Psychophysiology, 47, 442-454.
Iakimova, G., Passerieux, C., Foynard, M., Fiori, N., Besche, C., Laurent, J.P., &
Hardy-Baylé, M.C. (2009). Behavioral measures and event-related potentials reveal different aspects of sentence processing and comprehension in patients with major depression. Journal of Affective Disorders, 113, 188-194.
Kuang, D., Choo, J., & Park, H. (2015). Nonnegative matrix factorization for interactive topic modeling and document clustering. Partitional Clustering Algorithms, pp. 215-243. Springer.
Lawson, C. & MacLeod, C. (1999). Depression and the interpretation of ambiguity.
Behavior Research and Therapy, 37, 463-474.
Lin, E. H., Von Korff, M., Russo, J., Katon, W., Simon, G. E., Unützer, J., et al. (2000) Can depression treatment in primary care reduce disability? A stepped care approach. Archives of Family Medicine, 9, 1053-1058.
Liu, T.-J. (2014). PTT Corpus: Construction and Applications. (Master’s thesis).
Available from Airiti Library. (ID No. U0001-2110201409484500)
Nemeroff, C. B. (1999). The neurobiology of depression. In Scientific American (Eds.), The Scientific American Book of the Brain (pp. 263-275). New York:
Lyons Press.
Park, M., McDonald, D. W., & Cha, M. (2013). Perception differences between the depressed and non-depressed users in Twitter. In Proceedings of the7th International AAAI Conference on Weblogs and Social Media, 476-485.
Pennebaker, J. W., & Francis, M. (1996). Cognitive, emotional, and language processes in disclosure. Cognition and Emotion, 10, 601-626.
Pennebaker, J. W., Francis, M. E., & Booth, R. J. (2001). Linguistic Inquiry and Word Count (LIWC): LIWC2001. Mahwah, NJ: Erlbaum Publishers.
Rude, S. S., Gortner, E. M., & Pennebaker, J. W. (2004). Language use of depressed and depression vulnerable college students. Cognition and Emotion, 18, 1121–
1133.
Silberman, E. K., & Weingartner, H. (1986). Hemispheric lateralization of functions related to emotion. Brain and Cognition, 5, 322-353.
Steyvers, M., & Griffiths, T. (2007). Probabilistic topic models. Handbook of latent semantic analysis, 427(7), 424-440.
Wu, L. R., Parkson, G. E., Jr., & Doraiswamy, P. M. (2002). Health perception, pain, and disability as correlates of anxiety and depression symptoms in primary care patients. Journal of the American Board of Family Practice, 15, 183-190.
Xu, W., Liu, X., & Gong, Y. (2003). Document clustering based on non-negative matrix factorization. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information
Retrieval (SIGIR ‘03), pp. 267-273. ACM, New York, USA.
doi:10.1145/860435.860485