| Texto completo | |
| Autor(es): |
Marinho, Vanessa Queiroz
;
Hirst, Graeme
;
Amancio, Diego Raphael
;
IEEE
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF 2016 5TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS 2016); v. N/A, p. 6-pg., 2016-01-01. |
| Resumo | |
Concepts and methods of complex networks can be used to analyse texts at their different complexity levels. Examples of natural language processing (NLP) tasks studied via topological analysis of networks are keyword identification, automatic extractive summarization and authorship attribution. Even though a myriad of network measurements have been applied to study the authorship attribution problem, the use of motifs for text analysis has been restricted to a few works. The goal of this paper is to apply the concept of motifs, i.e. recurrent interconnection patterns, in the authorship attribution task. The absolute frequencies of all thirteen directed motifs with three nodes were extracted from the co-occurrence networks and used as classification features. The effectiveness of these features was verified with four machine learning methods. The results show that motifs are able to distinguish the writing style of different authors. In our best scenario, 57.5% of the books were correctly classified. The chance baseline for this problem is 12.5%. In addition, we have found that function words play an important role in these recurrent patterns. Taken together, our findings suggest that motifs should be further explored in other related linguistic tasks. (AU) | |
| Processo FAPESP: | 15/05676-8 - Desenvolvimento de novos modelos para reconhecimento de autoria com a utilização de redes complexas |
| Beneficiário: | Vanessa Queiroz Marinho |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |
| Processo FAPESP: | 14/20830-0 - Modelagem e reconhecimento de padrões em textos com redes complexas |
| Beneficiário: | Diego Raphael Amancio |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 15/23803-7 - Atribuição de autoria através do uso de métodos tradicionais e redes complexas |
| Beneficiário: | Vanessa Queiroz Marinho |
| Modalidade de apoio: | Bolsas no Exterior - Estágio de Pesquisa - Mestrado |