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Documental analysis of narrative fiction texts: the identification of the theme through the discourse analysis

Grant number: 20/10451-3
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): December 01, 2020
Effective date (End): November 30, 2021
Field of knowledge:Applied Social Sciences - Information Science - Information Theory
Principal researcher:João Batista Ernesto de Moraes
Grantee:Bárbara Souza da Silva
Home Institution: Faculdade de Filosofia e Ciências (FFC). Universidade Estadual Paulista (UNESP). Campus de Marília. Marília , SP, Brazil

Abstract

It is assumed that Discourse Analysis can also be used for the study of fiction narrative texts, since these are also an enunciation given by a socio-historical position, and have a Discursive Formation and an Ideological Formation and, through from the survey of these elements, one can arrive at the theme, with a view to the Documental Analysis of these texts. As a general objective, an experimentation with Discourse Analysis is proposed as a methodology to decode discursive formations that assist the Document Analysis process of fictional narrative texts. In the specifics, we seek to verify the applicability of Discourse Analysis as an analysis methodology in the literature; explain the importance of analyzing literary texts in comparison to scientific texts, analyzing texts by Millôr Fernandes to prove the research already carried out; compare the analyzes carried out with the representations found in other information units for the observation of the representation that would be better recovered and draw a parallel between the discursive formations and ideological formations with the information regime. It is intended to use the Discourse Analysis of French matrix as a methodology, with the intention of showing that its concepts are applicable when it is intended to analyze a fictional narrative text. As a result, we hope to demonstrate that Discourse Analysis can be used to survey themes in fictional narrative texts, which will greatly contribute to fill an existing gap when it comes to Document Analysis of this type of texts.

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