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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.orgunit | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | - |
| dc.authority.people | Francesca Frontini | it |
| dc.collection.id.s | 33fc2b58-b895-438b-9d2a-2c5bc86a83a6 | * |
| dc.collection.name | 04.04 Presentazione/Comunicazione non pubblicata in atti di convegno | * |
| dc.contributor.appartenenza | Istituto di linguistica computazionale "Antonio Zampolli" - ILC | * |
| dc.contributor.appartenenza.mi | 918 | * |
| dc.date.accessioned | 2024/02/21 07:50:42 | - |
| dc.date.available | 2024/02/21 07:50:42 | - |
| dc.date.issued | 2015 | - |
| dc.description.abstracteng | 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. | - |
| dc.description.affiliations | Istituto di Linguistica Computazionale "A. Zampolli" | - |
| dc.description.allpeople | Francesca Frontini | - |
| dc.description.allpeopleoriginal | Francesca Frontini | - |
| dc.description.fulltext | none | en |
| dc.description.numberofauthors | 1 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14243/296549 | - |
| dc.language.iso | eng | - |
| dc.relation.conferencedate | 14/07/2015 | - |
| dc.relation.conferencename | Göttingen Dialog in Digital Humanities | - |
| dc.relation.conferenceplace | Göttingen | - |
| dc.subject.keywords | computational stylistics | - |
| dc.subject.keywords | French | - |
| dc.subject.singlekeyword | computational stylistics | * |
| dc.subject.singlekeyword | French | * |
| dc.title | Mining for characterising patterns in literature using correspondence analysis: an experiment on French novels | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 04 Contributo in convegno::04.04 Presentazione/Comunicazione non pubblicata in atti di convegno | it |
| dc.type.miur | -2.0 | - |
| dc.type.referee | Sì, ma tipo non specificato | - |
| dc.ugov.descaux1 | 332668 | - |
| iris.orcid.lastModifiedDate | 2024/03/19 14:17:47 | * |
| iris.orcid.lastModifiedMillisecond | 1710854267224 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 04.04 Presentazione/Comunicazione non pubblicata (convegno, evento, webinar...) | |
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