Evaluating and improving lexical resources for detecting signs of depression in text.
While considerable attention has been given to the analysis of texts written by depressed individuals, few studies were interested in evaluating and improving lexical resources for supporting the detection of signs of depression in text. In this paper, we present a search-based methodology to evalua...
| Publicado en: | Language Resources & Evaluation Vol. 54; no. 1; pp. 1 - 25 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Mar2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=142203863&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 142203863 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2020 vid: 54 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 142203863 10.1007/s10579-018-9423-1 ppf: 1 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 463KB tig: atl: Evaluating and improving lexical resources for detecting signs of depression in text. aug: au: Losada, David E. Gamallo, Pablo affil: Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain su: Natural language processing Lexicon sug: subj: Natural language processing Lexicon keyword: Depression lexicon Depression screening Lexicon evaluation Lexicon expansion Text analysis ab: While considerable attention has been given to the analysis of texts written by depressed individuals, few studies were interested in evaluating and improving lexical resources for supporting the detection of signs of depression in text. In this paper, we present a search-based methodology to evaluate existing depression lexica. To meet this aim, we exploit existing resources for depression and language use and we analyze which elements of the lexicon are the most effective at revealing depression symptoms. Furthermore, we propose innovative expansion strategies able to further enhance the quality of the lexica. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2020. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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