A Text Feature Based Automatic Keyword Extraction Method for Single Documents

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

Campos, R (Autor) Outra; Mangaravite, V (Autor) Outra; Pasquali, A (Autor) Outra; Jorge, AM (Autor) FCUP; Nunes, C (Autor) Outra; Jatowt, A (Autor) Outra

Ata de Conferência Internacional

Título: ADVANCES IN INFORMATION RETRIEVAL (ECIR 2018)

Páginas: 684-691

40th European Conference on Information Retrieval Research (ECIR)

Grenoble, FRANCE, MAR 26-29, 2018

Indexação

ISI Web of Knowledge - 34 Citações

Scopus - 55 Citações

Outras Informações

ID Authenticus: P-00N-NF3

DOI: 10.1007/978-3-319-76941-7_63

Abstract (EN): In this work, we propose a lightweight approach for keyword extraction and ranking based on an unsupervised methodology to select the most important keywords of a single document. To understand the merits of our proposal, we compare it against RAKE, TextRank and SingleRank methods (three well-known unsupervised approaches) and the baseline TF. IDF, over four different collections to illustrate the generality of our approach. The experimental results suggest that extracting keywords from documents using our method results in a superior effectiveness when compared to similar approaches.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8