Analysis of language traits with natural language processing techniques in early detection of depression
The development of computational methods using information from the Web for early detection of risks is a socially relevant, scientifically attractive and currently a growing area of research. Depression is one of the most frequent mental disorders in the world and with high incidence of suicide i...
| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
| Publicado: |
Anales de Lingüística
2021
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| Materias: | |
| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/analeslinguistica/article/view/5522 |
| Aporte de: |
| id |
I11-R94article-5522 |
|---|---|
| record_format |
ojs |
| institution |
Universidad Nacional de Cuyo |
| institution_str |
I-11 |
| repository_str |
R-94 |
| container_title_str |
Anales de Lingüística |
| language |
Español |
| format |
Artículo revista |
| topic |
detección temprana de depresión representación de documentos , incrustaciones de palabras métrica ERDE early depression detection document representations word embeddings ERDE metric |
| spellingShingle |
detección temprana de depresión representación de documentos , incrustaciones de palabras métrica ERDE early depression detection document representations word embeddings ERDE metric Garciarena Ucelay, María José Cagnina, Leticia Cecilia Errecalde, Marcelo Luis Analysis of language traits with natural language processing techniques in early detection of depression |
| topic_facet |
detección temprana de depresión representación de documentos , incrustaciones de palabras métrica ERDE early depression detection document representations word embeddings ERDE metric |
| author |
Garciarena Ucelay, María José Cagnina, Leticia Cecilia Errecalde, Marcelo Luis |
| author_facet |
Garciarena Ucelay, María José Cagnina, Leticia Cecilia Errecalde, Marcelo Luis |
| author_sort |
Garciarena Ucelay, María José |
| title |
Analysis of language traits with natural language processing techniques in early detection of depression |
| title_short |
Analysis of language traits with natural language processing techniques in early detection of depression |
| title_full |
Analysis of language traits with natural language processing techniques in early detection of depression |
| title_fullStr |
Analysis of language traits with natural language processing techniques in early detection of depression |
| title_full_unstemmed |
Analysis of language traits with natural language processing techniques in early detection of depression |
| title_sort |
analysis of language traits with natural language processing techniques in early detection of depression |
| description |
The development of computational methods using information from the Web for early detection of risks is a socially relevant, scientifically attractive and currently a growing area of research. Depression is one of the most frequent mental disorders in the world and with high incidence of suicide in the most severe cases. Therefore, early detection of this illness could lead to a timely treatment and to save lives. This paper analyzes the relationship between computational models that allow the automatic detection of depression and the linguistic properties of the text written by people who experience the disease. State-of-the-art text representations in document classification are used, covering linguistic, syntactic and semantic aspects. The results obtained with standard classifiers indicate that word embeddings capture precise information to detect quickly and safely signs of depression. |
| publisher |
Anales de Lingüística |
| publishDate |
2021 |
| url |
https://revistas.uncu.edu.ar/ojs3/index.php/analeslinguistica/article/view/5522 |
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AT garciarenaucelaymariajose analysisoflanguagetraitswithnaturallanguageprocessingtechniquesinearlydetectionofdepression AT cagninaleticiacecilia analysisoflanguagetraitswithnaturallanguageprocessingtechniquesinearlydetectionofdepression AT errecaldemarceloluis analysisoflanguagetraitswithnaturallanguageprocessingtechniquesinearlydetectionofdepression AT garciarenaucelaymariajose analisisderasgoslinguisticoscontecnicasdeprocesamientodellenguajenaturalenladetecciontempranadedepresion AT cagninaleticiacecilia analisisderasgoslinguisticoscontecnicasdeprocesamientodellenguajenaturalenladetecciontempranadedepresion AT errecaldemarceloluis analisisderasgoslinguisticoscontecnicasdeprocesamientodellenguajenaturalenladetecciontempranadedepresion |
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2022-06-20T13:33:48Z |
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2022-06-20T13:33:48Z |
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