J. W. Pennebaker and L. A. King, Linguistic styles: Language use as an individual difference, Journal of personality and social psychology, vol.77, issue.6, p.1296, 1999.

J. M. Bertolote and A. Fleischmann, Oxford textbook of suicidology and suicide prevention: A global perspective, pp.91-98, 2009.

J. Pestian, H. Nasrallah, P. Matykiewicz, A. Bennett, and A. Leenaars, Suicide note classification using natural language processing: A content analysis, Biomedical Informatics Insights, vol.3, 2010.

R. Wicentowski and M. R. Sydes, emotion detection in suicide notes using maximum entropy classification, Biomedical informatics insights, vol.5, p.8972, 2012.

C. Cherry, S. M. Mohammad, and B. D. Bruijn, Binary classifiers and latent sequence models for emotion detection in suicide notes, Biomedical Informatics Insights, vol.5, issue.1, 2012.

L. Zhang, X. Huang, T. Liu, A. Li, Z. Chen et al., Using linguistic features to estimate suicide probability of chinese microblog users, Human Centered Computing, pp.549-559, 2015.

T. A. Litvinova, P. V. Seredin, O. A. Litvinova, and O. V. Romanchenko, Identification of suicidal tendencies of individuals based on the quantitative analysis of their internet texts, Computación y Sistemas, vol.21, issue.2, 2017.

P. Burnap, W. Colombo, and J. Scourfield, Machine classification and analysis of suicide-related communication on twitter, Proceedings of the 26th ACM conference on hypertext & social media, pp.75-84, 2015.

K. R. Jamison, Manic-depressive illness and creativity, SCIENTIFIC AMERICAN-AMERICAN EDITION, vol.276, pp.44-52, 1997.

S. D. Raeburn, Psychological issues and treatment strategies in popular musicians: A review, part i, Medical Problems of Performing Artists, vol.14, pp.171-179, 1999.

S. Stack, Suicide among artists, The Journal of Social Psychology, vol.137, issue.1, pp.129-130, 1997.

E. J. Lightman, P. M. Mccarthy, D. F. Dufty, and D. S. Mcnamara, Using computational text analysis tools to compare the lyrics of suicidal and non-suicidal songwriters, Proceedings of the Annual Meeting of the Cognitive Science Society, vol.29, 2007.

M. Mulholland and J. Quinn, Suicidal tendencies: The automatic classification of suicidal and non-suicidal lyricists using nlp, Proceedings of the sixth international joint conference on natural language processing, pp.680-684, 2013.

K. Paj?k and J. Trzebi?ski, Escaping the world: Linguistic indicators of suicide attempts in poets, Journal of Loss and Trauma, vol.19, issue.5, pp.389-402, 2014.

S. W. Stirman and J. W. Pennebaker, Word use in the poetry of suicidal and nonsuicidal poets, Psychosomatic medicine, vol.63, issue.4, pp.517-522, 2001.

E. Durkheim, Suicide: A study in sociology. Routledge, 2005.

K. Petrie and R. Brook, Sense of coherence, self-esteem, depression and hopelessness as correlates of reattempting suicide, British Journal of Clinical Psychology, vol.31, issue.3, pp.293-300, 1992.

J. Kao and D. Jurafsky, A computational analysis of style, affect, and imagery in contemporary poetry, Proceedings of the NAACL-HLT 2012 Workshop on Computational Linguistics for Literature, pp.8-17, 2012.

. Wictionary, , 2019.

F. Å. Nielsen, A new ANEW: evaluation of a word list for sentiment analysis in microblogs, CoRR, 2011.

, Weka 3 -Data Mining with Open Source Machine Learning Software in Java

J. Wiebe, T. Wilson, and C. Cardie, Annotating expressions of opinions and emotions in language, Language resources and evaluation, vol.39, issue.2-3, pp.165-210, 2005.