Publication Date:
2018
abstract:
This paper reports first results of a wider study devoted to exploit the potentialities of a NLP-based approach to the analysis of a corpus of reflective writings on teaching activities. We investigate how a wide set of linguistic features allows reconstructing the linguistic profile of the texts written by the Italian teachers and predicting whether are reflective.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Natural Language Processing; Reflective Writings; Linguistic Profiling; Document Classification
List of contributors:
Montemagni, Simonetta; Dell'Orletta, Felice; Venturi, Giulia
Published in: