Ricardo Avila and Gabriel Lopes and Vania Vidal and Jose Macedo
Using Textual PreProcessing and Text Mining to Create Semantic Links
959 - 966
2019
13
7
International Journal of Educational and Pedagogical Sciences
https://publications.waset.org/pdf/10010548
https://publications.waset.org/vol/151
World Academy of Science, Engineering and Technology
This article offers a approach to the automatic discovery
of semantic concepts and links in the domain of Oil Exploration
and Production (E&P). Machine learning methods combined with
textual preprocessing techniques were used to detect local patterns in
texts and, thus, generate new concepts and new semantic links. Even
using more specific vocabularies within the oil domain, our approach
has achieved satisfactory results, suggesting that the proposal can
be applied in other domains and languages, requiring only minor
adjustments.
Open Science Index 151, 2019