arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.04626cs.CL
收藏

DISCO PAL:带有心理和情感标签的西班牙十四行诗历时语料库

DISCO PAL: Diachronic Spanish Sonnet Corpus with Psychological and Affective Labels

Telefónica(西班牙电信);Universidad Nacional de Educación a Distancia (UNED)(国立远程教育大学)

Alberto Barbado, Víctor Fresno, Ángeles Manjarrés Riesco, Salvador Ros

摘要:

目前,在不同语言的语料库中进行文本挖掘的应用很多。然而,它们中的大多数都是基于散文文本,缺乏与诗歌文本一起工作的应用程序。文本挖掘在诗歌中的应用的一个例子是使用从其单个单词中获得的特征,以捕获词汇,词汇下和词汇间意义,并推断文本的一般情感意义(GAM)。然而,尽管这一建议已被证明是有用的诗歌在某些语言,有缺乏研究西班牙诗歌和高度结构化的诗歌作品,如十四行诗。本文介绍了一个西班牙十四行诗的注释语料库的研究,以分析是否有可能建立功能,从他们的个人的话来预测他们的GAM。这样做的目的是在情感层面上对十四行诗进行建模。文章还分析了十四行诗的GAM与内容本身的关系。为此,我们从心理学的角度来考虑内容,当十四行诗与特定术语相关时,用标签来识别。然后,我们研究了GAM如何根据这些心理术语变化。所使用的语料库包含274首西班牙十四行诗,来自不同世纪的作者,从15世纪到19世纪。该语料库由不同领域的专家进行注释。专家们用情感和词汇语义特征以及属于心理学的领域概念来注释这些诗歌。由于这一点,十四行诗的语料库可以用于不同的应用,如诗歌推荐系统,作者的个性文本挖掘研究,或诗歌用于治疗目的。

英文摘要:

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 15th to 19th. 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑