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AMBIENTUM BIOETHICA BIOLOGIA CHEMIA DIGITALIA DRAMATICA EDUCATIO ARTIS GYMNAST. ENGINEERING EPHEMERIDES EUROPAEA GEOGRAPHIA GEOLOGIA HISTORIA HISTORIA ARTIUM INFORMATICA IURISPRUDENTIA MATHEMATICA MUSICA NEGOTIA OECONOMICA PHILOLOGIA PHILOSOPHIA PHYSICA POLITICA PSYCHOLOGIA-PAEDAGOGIA SOCIOLOGIA THEOLOGIA CATHOLICA THEOLOGIA CATHOLICA LATIN THEOLOGIA GR.-CATH. VARAD THEOLOGIA ORTHODOXA THEOLOGIA REF. TRANSYLVAN
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The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary The summary of the selected article appears at the bottom of the page. In order to get back to the contents of the issue this article belongs to you have to access the link from the title. In order to see all the articles of the archive which have as author/co-author one of the authors mentioned below, you have to access the link from the author's name. |
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STUDIA INFORMATICA - Issue no. 2 / 2019 | |||||||
Article: |
QUANTITATIVE ANALYSIS OF STYLE IN MIHAI EMINESCU’S POETRY. Authors: ANAMARIA BRICIU. |
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Abstract: DOI: 10.24193/subbi.2019.2.06 Published Online: 2019-12-30 Published Print: 2019-12-30 pp. 80-95 VIEW PDF: PDF Quantitative stylistic methods aim to express certain aspects of a text in numeric form, thus allowing the introduction of fast, powerful and accurate computational approaches for analysis. While in the case of literature, the validity and usefulness of such studies is highly controversial, one cannot deny the opportunities brought forward by computational methods: first, the exploration of large sets of documents in search of patterns otherwise difficult to discover by human readers; second, the possibility of opening up new perspectives by uncovering latent features of texts. In this study, we investigate the poetic work of one of the most important Romanian poets, Mihai Eminescu, through a variety of quantitative methods addressing lexical, morphological, semantic and emotional aspects of text. We propose a comparison between the results of the computational approach and established interpretations of Eminescu’s work in order to assess the viability of computational methods in poetic style studies. Keywords: text processing, quantitative analysis, poetry. 2010 Mathematics Subject Classification. 68T10, 68T50. |
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