Text documents streams with improved incremental similarity

• Tipo: Artigo em Revista Científica Internacional
• Data: 2021

Autores

Sarmento, RP (Autor) Outra; Cardoso, DO (Autor) Outra; Dearo, K (Autor) Outra; Brazdil, P (Autor) Outra; João Gama (Autor) FEP

Revista

Título: Social Network Analysis and Mining

Vol. 11 Nº 1

Página Inicial: 113

ISSN: 1869-5450

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00V-N65

DOI: 10.1007/s13278-021-00826-z

Abstract (EN): There has been a significant effort by the research community to address the problem of providing methods to organize documentation, with the help of Information Retrieval methods. In this paper, we present several experiments with stream analysis methods to explore streams of text documents. This paper also presents possible architectures of the Text Document Stream Organization, with the use of incremental algorithms like Incremental Sparse TF-IDF and Incremental Similarity. Our results show that with this architecture, significant improvements are achieved, regarding efficiency in grouping of similar documents. These improvements are important since it is of general knowledge that great amounts of text analysis are a high dimensional and complex subject of study, in the data analysis area.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9