k-TVT: a flexible and effective method for early depression detection

The increasing use of social media allows the extraction of valuable information to early prevent some risks. Such is the case of the use of blogs to early detect people with signs of depression. In order to address this problem, we describe k-temporal variation of terms (k-TVT), a method which uses...

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Detalles Bibliográficos
Autores principales: Cagnina, Leticia, Errecalde, Marcelo Luis, Garciarena Ucelay, María José, Funez, Dario G., Villegas, María Paula
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Early Risk Prediction
Early Depression Detection
Text Representation
Semantic Analysis Techniques
Temporal Variation of Terms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/90534
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-90534
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Early Risk Prediction
Early Depression Detection
Text Representation
Semantic Analysis Techniques
Temporal Variation of Terms
spellingShingle Ciencias Informáticas
Early Risk Prediction
Early Depression Detection
Text Representation
Semantic Analysis Techniques
Temporal Variation of Terms
Cagnina, Leticia
Errecalde, Marcelo Luis
Garciarena Ucelay, María José
Funez, Dario G.
Villegas, María Paula
k-TVT: a flexible and effective method for early depression detection
topic_facet Ciencias Informáticas
Early Risk Prediction
Early Depression Detection
Text Representation
Semantic Analysis Techniques
Temporal Variation of Terms
description The increasing use of social media allows the extraction of valuable information to early prevent some risks. Such is the case of the use of blogs to early detect people with signs of depression. In order to address this problem, we describe k-temporal variation of terms (k-TVT), a method which uses the variation of vocabulary along the different time steps as concept space to represent the documents. An interesting particularity of this approach is the possibility of setting a parameter (the k value) depending on the urgency (earliness) level required to detect the risky (depressed) cases. Results on the early detection of depression data set from eRisk 2017 seem to confirm the robustness of k-TVT for different urgency levels using SVM as classifier. Besides, some recent results on an extension of this collection would confirm the effectiveness of k-TVT as one of the state-of-the-art methods for early depression detection.
format Objeto de conferencia
Objeto de conferencia
author Cagnina, Leticia
Errecalde, Marcelo Luis
Garciarena Ucelay, María José
Funez, Dario G.
Villegas, María Paula
author_facet Cagnina, Leticia
Errecalde, Marcelo Luis
Garciarena Ucelay, María José
Funez, Dario G.
Villegas, María Paula
author_sort Cagnina, Leticia
title k-TVT: a flexible and effective method for early depression detection
title_short k-TVT: a flexible and effective method for early depression detection
title_full k-TVT: a flexible and effective method for early depression detection
title_fullStr k-TVT: a flexible and effective method for early depression detection
title_full_unstemmed k-TVT: a flexible and effective method for early depression detection
title_sort k-tvt: a flexible and effective method for early depression detection
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/90534
work_keys_str_mv AT cagninaleticia ktvtaflexibleandeffectivemethodforearlydepressiondetection
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AT garciarenaucelaymariajose ktvtaflexibleandeffectivemethodforearlydepressiondetection
AT funezdariog ktvtaflexibleandeffectivemethodforearlydepressiondetection
AT villegasmariapaula ktvtaflexibleandeffectivemethodforearlydepressiondetection
bdutipo_str Repositorios
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