Coocorrências específicas e representações gráficas: o "novo" tema do programa Hyperbase

Texto Digital

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Title Coocorrências específicas e representações gráficas: o "novo" tema do programa Hyperbase
Specific coocurrences and graphical representations: Hyperbase’s new “theme”
Specific coocurrences and graphical representations: Hyperbase’s new “theme”
 
Creator Vanni, Laurent
 
Subject Letras; Informática
Hyperbase; Coocorrência; Representação Gráfica





Polycooccurence; Visualization; Hyperbase

 
Description O cálculo dos coocorrentes específicos de uma palavra é um dos métodos estatísticos mais populares na Análise de Dados Textuais. O programa Hyperbase introduziu esse conceito com a função “Tema”, que descreve o léxico sobreutilizado na vizinhança de uma forma, de uma estrutura gramatical ou de um lema. Representar essa análise de forma gráfica, porém, é um desafio, pois, mais do que uma simples lista dos coocorrentes específicos, é preciso indicar também a ordem, o desvio e as relações entre cada par de palavras. Com a chegada da versão Web do Hyperbase, propomos agora uma nova abordagem para essa função. O cálculo fica mais aprofundado e passa a identificar a coocorrência de segundo nível. Já a representação gráfica aposta na simplificação da leitura do resultado da análise e na explicação mais precisa dos cálculos subjacentes.
Finding word cooccurrences and calculating the specificity scores is one of the most popular statistical methods in the analysis of textual data.  Within Hyperbase, there is a “theme” feature for this purpose, which is capable of locating words that are used more commonly near a given word form, grammatical structure or lemma.  The graphical representation of such an analysis is often challenging; more than a list of the cooccurring words, it should be able to indicate the order, the score and the relations between pairs of words.  Now that Hyperbase has a Web version, this article proposes a new approach for the “theme” feature:  the calculation of cooccurrences has been extended to include the second level.  The accompanying graphical representation is betting on new visual features in order to simplify reading the results and render the underlying calculation more explicit.
Finding word cooccurrences and calculating the specificity scores is one of the most popular statistical methods in the analysis of textual data.  Within Hyperbase, there is a “theme” feature for this purpose, which is capable of locating words that are used more commonly near a given word form, grammatical structure or lemma.  The graphical representation of such an analysis is often challenging; more than a list of the cooccurring words, it should be able to indicate the order, the score and the relations between pairs of words.  Now that Hyperbase has a Web version, this article proposes a new approach for the “theme” feature:  the calculation of cooccurrences has been extended to include the second level.  The accompanying graphical representation is betting on new visual features in order to simplify reading the results and render the underlying calculation more explicit.
 
Publisher Center for Research in Computing, Literature, and Linguistics (NuPILL)
 
Contributor


 
Date 2017-07-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier https://periodicos.ufsc.br/index.php/textodigital/article/view/1807-9288.2016v13n1p31
10.5007/1807-9288.2016v13n1p31
 
Source Texto Digital; v. 13, n. 1 (2017); 31-46
Texto Digital; v. 13, n. 1 (2017); 31-46
Texto Digital; v. 13, n. 1 (2017); 31-46
1807-9288
 
Language por
 
Relation https://periodicos.ufsc.br/index.php/textodigital/article/view/1807-9288.2016v13n1p31/34574
 
Rights Direitos autorais 2017 Adiel Mittmann, Laurent Vanni
http://creativecommons.org/licenses/by/4.0
 

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