DISCO PAL: Diachronic Spanish sonnet corpus with psychological and affective labels.
Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with poetry texts. An example of an application of text mining in poetry is the usage of features derived from their individua...
| Publicado en: | Language Resources & Evaluation Vol. 56; no. 2; pp. 501 - 543 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Jun2022
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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=157410218&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 157410218 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2022 vid: 56 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 157410218 10.1007/s10579-021-09557-1 ppf: 501 ppct: 42 formats: fmt: – @attributes: type: T – @attributes: type: P size: 821KB tig: atl: DISCO PAL: Diachronic Spanish sonnet corpus with psychological and affective labels. aug: au: Barbado, Alberto Fresno, Víctor Riesco, Ángeles Manjarrés Ros, Salvador affil: Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain Telefónica, Madrid, Spain Escuela Técnica Superior de Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain Departamento de Lenguajes y Sistemas Informáticos, Universidad Nacional de Educación a Distancia, Madrid, Spain su: Sonnet Affect (Psychology) Recommender systems Text mining Corpora Poetry (Literary form) sug: subj: Sonnet Affect (Psychology) Recommender systems Text mining Corpora Poetry (Literary form) keyword: Affective NLP Poetry Psychology Semantic Spanish sonnets ab: Nowadays, there are many applications of text mining over corpora from different languages. However, most of them are based on texts in prose, lacking applications that work with poetry texts. An example of an application of text mining in poetry is the usage of features derived from their individual words in order to capture the lexical, sublexical and interlexical meaning, and infer the General Affective Meaning (GAM) of the text. However, even though this proposal has been proved as useful for poetry in some languages, there is a lack of studies for both Spanish poetry and for highly-structured poetic compositions such as sonnets. This article presents a study over an annotated corpus of Spanish sonnets, in order to analyse if it is possible to build features from their individual words for predicting their GAM. The purpose of this is to model sonnets at an affective level. The article also analyses the relationship between the GAM of the sonnets and the content itself. For this, we consider the content from a psychological perspective, identifying with tags when a sonnet is related to a specific term. Then, we study how GAM changes according to each of those psychological terms. The corpus used contains 274 Spanish sonnets from authors of different centuries, from fifteenth to nineteenth. This corpus was annotated by different domain experts. The experts annotated the poems with affective and lexico-semantic features, as well as with domain concepts that belong to psychology. Thanks to this, the corpus of sonnets can be used in different applications, such as poetry recommender systems, personality text mining studies of the authors, or the usage of poetry for therapeutic purposes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2022. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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