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Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context

Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context

Anbu Savekar, Shashikanta Tarai, Moksha Singh
Copyright: © 2019 |Pages: 25
ISBN13: 9781522585671|ISBN10: 1522585672|EISBN13: 9781522585688
DOI: 10.4018/978-1-5225-8567-1.ch012
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MLA

Savekar, Anbu, et al. "Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context." Early Detection of Neurological Disorders Using Machine Learning Systems, edited by Sudip Paul, et al., IGI Global, 2019, pp. 216-240. https://doi.org/10.4018/978-1-5225-8567-1.ch012

APA

Savekar, A., Tarai, S., & Singh, M. (2019). Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context. In S. Paul, P. Bhattacharya, & A. Bit (Eds.), Early Detection of Neurological Disorders Using Machine Learning Systems (pp. 216-240). IGI Global. https://doi.org/10.4018/978-1-5225-8567-1.ch012

Chicago

Savekar, Anbu, Shashikanta Tarai, and Moksha Singh. "Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context." In Early Detection of Neurological Disorders Using Machine Learning Systems, edited by Sudip Paul, Pallab Bhattacharya, and Arindam Bit, 216-240. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8567-1.ch012

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Abstract

Depression has been identified as the most prevalent mental disorder worldwide. Due to the stigma of mental illness, the population remains unidentified, undiagnosed, and untreated. Various studies have been carried out to detect and track depression following symptoms of dichotomous thinking, absolutist thinking, linguistic markers, and linguistic behavior. However, there is little study focused on the linguistic behavior of bilingual and multilingual with anxiety and depression. This chapter aims to identify the bi-multilingual linguistic markers by analyzing the recorded verbal content of depressive discourse resulting from life situations and stressors causing anxiety, depression, and suicidal ideation. Different contextual domains of word usage, content words, function words (pronouns), and negative valance words have been identified as indicators of psychological process affecting cognitive behavior, emotional health, and mental illness. These findings are discussed within the framework of Beck's model of depression to support the linguistic connection to mental illness-depression.

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