The talk presents and describes a bottom up methodology for the detection of stylistic traits in the syntax of literary texts. The extraction of syntactic patterns is performed blindly by a sequential pattern mining algorithm, while the identification of significant and interesting features is performed later by using correspondence analysis and filtering for the most contributive patterns.
Mining for characterising patterns in literature using correspondence analysis: an experiment on French novels
Francesca Frontini
2015
Abstract
The talk presents and describes a bottom up methodology for the detection of stylistic traits in the syntax of literary texts. The extraction of syntactic patterns is performed blindly by a sequential pattern mining algorithm, while the identification of significant and interesting features is performed later by using correspondence analysis and filtering for the most contributive patterns.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
