Article - Main Track

Text Mining and Semantics: challenges, approaches, and applications

Author: SINOARA, R.A., MARCACINI, R.M., REZENDE, S.O.

Abstract: Currently, due to the constant advance and dissemination of information technology, we face a growth in the generation, storing, and availability of texts, both internally in organizations, and widely in the web and social networks. In this context, the Text Mining process becomes essential for supporting textual data processing and knowledge discovery, which is applied in various domains. On the other hand, the nature of textual data brings additional challenges to the mining process, as semantic aspects must be considered. In this paper, we address Text Mining from a semantics perspective, discussing the challenges of extracting knowledge from textual data. We also present approaches for incorporating semantic aspects in the Text Mining process and recent applications that benefit from semantic enhancement.

Keywords: Text Mining, Semantics, Data Pre-Processing, Applications.

Full paper (in Portuguese)

Full Reference: Sinoara, R.A., Marcacini, R.M., Rezende, S.O., "Mineração de Textos e Semântica: desafios, abordagens e aplicações", Revista de Sistemas de Informação da FSMA n 27(2021) pp. 41-53

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