Categorising Texts by Using a Three-Level Functional Style Description

The presented work is strongly motivated by the need of modelling functional style (FS) as well as categorising unrestricted texts in terms of FS in order to attain a satisfying outcome in style processing. Towards this end, it is given a three-level description of FS that comprises: (a) the basic categories of FS, (b) the main features that characterise each one of the above categories, and (c) the linguistic identifiers that act as style markers in texts for the identification of the above features. Special emphasis is put on the problems that faces a computational implementation of the aforementioned findings as well as the selection of the most appropriate stylometrics (i.e. stylistic scores) to achieve better results on text categorisation. This approach is language independent, statistically and empirically-driven, and can be used in various applications including text categorisation, natural language generation, style verification in real-world texts, and recognition of style shift between adjacent portions of text.