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Detecting Depression Signs on Social Media: A Systematic Literature Review
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In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022)
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Abstract:
Among mental health diseases, depression is one of the most severe, as it often leads to suicide; due to this, it is important to identify and summarize existing evidence concerning depression sign detection research on social media using the data provided by users. This review examines aspects of primary studies exploring depression detection from social media submissions (from 2016 to mid-2021). The search for primary studies was conducted in five digital libraries: ACM Digital Library, IEEE Xplore Digital Library, SpringerLink, Science Direct, and PubMed, as well as on the search engine Google Scholar to broaden the results. Extracting and synthesizing the data from each paper was the main activity of this work. Thirty-four primary studies were analyzed and evaluated. Twitter was the most studied social media for depression sign detection. Word embedding was the most prominent linguistic feature extraction method. Support vector machine (SVM) was the most used machine-learning algorithm. Similarly, the most popular computing tool was from Python libraries. Finally, cross-validation (CV) was the most common statistical analysis method used to evaluate the results obtained. Using social media along with computing tools and classification methods contributes to current efforts in public healthcare to detect signs of depression from sources close to patients.
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Keyword:
depression; sentiment analysis; social media
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URL: https://doi.org/10.3390/healthcare10020291
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El desafío lingüístico en los servicios públicos: el caso del lenguaje claro y la lectura fácil en contextos migratorios
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CLIL as an inclusive approach. a didactic proposal to attend to diversity
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Argument and Verb Meaning Clustering From Expression Forms in LSE
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In: Front Psychol (2022)
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Detecting Depression Signs on Social Media: A Systematic Literature Review
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In: Healthcare (Basel) (2022)
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Formação docente : reflexões sobre letramento digital crítico e coconstrução de saberes entre professoras/es de Francês
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Síntomas cognitivos en la COVID-19 persistente: un análisis neuropsicológico
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Estrategias de aprendizaje en universitarios europeos de español como segunda lengua: estudio de caso en Alemania
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Fronted information focus in Catalan at the phonology/phonetics interface
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In: Phonetics and Phonology in Europe ; https://hal.archives-ouvertes.fr/hal-03503042 ; Phonetics and Phonology in Europe, 2021, Barcelona, Spain (2021)
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Hypocoristic truncation in Sardinian
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In: ISSN: 0024-3949 ; EISSN: 1613-396X ; Linguistics ; https://hal.archives-ouvertes.fr/hal-03503035 ; Linguistics, De Gruyter, 2021, 59 (3), pp.683-714. ⟨10.1515/ling-2021-0061⟩ (2021)
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Els universals lingüístics i el marcatge en l’ensenyament de la pronunciació del català com a llengua estrangera
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In: Journal of Innovation and Research in Plurilingual and Pluricultural Education ; https://hal.archives-ouvertes.fr/hal-03503034 ; Journal of Innovation and Research in Plurilingual and Pluricultural Education, 2021, 4 (2), pp.35-48. ⟨10.5565/rev/clil.66⟩ (2021)
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