Text mining and semantics: a systematic mapping study

• Published in: Journal of the Brazilian Computer Society Vol. 23; no. 1; pp. 1 - 20
• Main Authors: Sinoara, Roberta Akemi, Antunes, João, Rezende, Solange Oliveira
• Format: Journal Article
• Language: English
• Published: London Springer London 01-06-2017; Sociedade Brasileira de Computação
• Subjects: Computer Science; Computer System Implementation; Data mining; Data Structures; Digital mapping; End users; Operating Systems; Semantics; Simulation and Modeling; Studies; Systematic review; Text mining; Text semantics; Texts; Text mining; Text semantics; Systematic review
• ISSN: 0104-6500; 1678-4804
• DOI: 10.1186/s13173-017-0058-7

As text semantics has an important role in text meaning, the term semantics has been seen in a vast sort of text mining studies. However, there is a lack of studies that integrate the different research branches and summarize the developed works. This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol. Its results were based on 1693 studies, selected among 3984 studies identified in five digital libraries. The produced mapping gives a general summary of the subject, points some areas that lacks the development of primary or secondary studies, and can be a guide for researchers working with semantics-concerned text mining. It demonstrates that, although several studies have been developed, the processing of semantic aspects in text mining remains an open research problem.