A pragmatic model of text classification for the compilation of special-purpose corpora

Abstract

The objective of this article is to present a pragmatic model for text classification that can represent the different communicative situations, and consequently, the different levels of text specialization. The main purpose of the model is to serve as a useful tool to recover and select initially the written texts that will form part of a special-purpose corpus. With this objective in mind, in the first part of this article, I will revise briefly the concepts and criteria that theoretically frame this work. In the second part, I will provide the criteria and methods adopted to conceive the model, which will be developed in a sequential manner. This second part will conclude with an integral graphical view of the model. Finally, in the conclusion, I will supply some comments about the model.