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- W2334684927 abstract "At present, the suicide phenomenon is raising, having a relevant impact on our society. Each year about one million people die as a result of suicidal behavior becoming an economic, social and human problem. On the other hand, the use of Social Media as a means of communication is becoming extremely popular, through which their emotional states and impressions are exchanged. Therefore, it is no surprise that more and more people with depression publish their suicide notes in these communication channels. In this context, Information Technologies and Communications and, more specifically, Language Technologies play an important role in the early detection of the depression, their causes and their terrible consequences. Based on these considerations, it is mandatory to provide societal, environmentally approaches and solutions to tackle these societal challenges. This work pretends to be an exhaustive survey of the different researches in this scope, in order to explain which methodologies, technologies and resources are used in the detection of mental problems by means of the Social Media analysis as well as to re-veal their deficiencies." @default.
- W2334684927 created "2016-06-24" @default.
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- W2334684927 date "2014-01-01" @default.
- W2334684927 modified "2023-10-17" @default.
- W2334684927 title "Language Technologies for Suicide Prevention in Social Media" @default.
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- W2334684927 doi "https://doi.org/10.3115/v1/w14-6903" @default.
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