Publication Date:
2016
abstract:
The inclusion of semantic features in the stylometric analysis of literary texts appears to be poorly investigated. In this work, we experiment with the application of Distributional Semantics to a corpus of Italian literature to test if words distribution can convey stylistic cues. To verify our hypothesis, we have set up an Authorship Attribution experiment. Indeed, the results we have obtained suggest that the style of an author can reveal itself through words distribution too.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
NLP for Digital Humanities; Stilometry; Distributional Semantic
List of contributors:
Benotto, Giulia; Marchi, Simone; Giovannetti, Emiliano
Book title:
Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016)
Published in: