Processamento de linguagem natural e acoplamento bibliográfico: uma análise da proximidade entre os artigos mais acessados do periódico Scientometrics

Bianca Savegnago de Mira; Rafael Gutierres Castanha

doi:10.5433/1981-8920.2022v27n3p262

Authors

Bianca Savegnago de Mira Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP https://orcid.org/0000-0001-7913-4084
Gutierres Castanha São Paulo State University (UNESP) https://orcid.org/0000-0002-3117-1780

DOI:

https://doi.org/10.5433/1981-8920.2022v27n3p262

Keywords:

Bibliographic coupling, Similarity index, Natural language processing

Abstract

Objective: to compare the methods of Natural Language Processing and Bibliographic Coupling normalized via Salton Cosine applied to the ten most accessed articles of 2020 in the Scientometrics journal.
Methodology: It calculates the similarity between all articles according to five perspectives, namely: similarities between active forms of the full text, active forms of abstracts, keywords in common, bibliographic coupling between documents and bibliographic coupling of authors. Furthermore, it calculates the Pearson and Spearman correlations, applies the Wilcoxon non-parametric test at a 5% significance level, and represents the normalized values in a boxplot.
Results: It finds that the specificities of each method significantly influence the achievement of a significant correlation between the measures in which the two coupling calculations would correlate more strongly with each other, as well as two calculations based on natural language processing. Note that the coupling calculations correlated significantly, as for each document coupling value there is necessarily at least one author coupling value. About calculations based on natural language processing, there is a strong correlation between full texts and abstracts, as there is a content dependence between both. The Wilcoxon test measured significant differences between all pairs of compared measurements.
Conclusions: It concludes a strong correlation between full texts and abstracts, and between bibliographic coupling methods. However, there is a significant difference between the calculated values.

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Author Biographies

Bianca Savegnago de Mira, Universidade Estadual Paulista Júlio de Mesquita Filho - UNESP

PhD student in Information Science at the Graduate Program in Information Science at the Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP), Marília, Brasil.

Gutierres Castanha, São Paulo State University (UNESP)

PhD in Information Science from the Universidade Estadual Paulista (UNESP). Professor at the Universidade de Marília (UNIMAR), Marília, Brasil.

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