Author Identification using Stylometric Features
Fuente:
Redalyc
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Asociación Española para la Inteligencia Artificial
2007
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1876467909593661440 |
|---|---|
| author | Daniel Pavelec |
| author_facet | Daniel Pavelec |
| contents | Author Identification using Stylometric Features Daniel Pavelec Edson Justino Luiz S. Oliveira Ingeniería Stylometry Pattern Recognition Author Identification In this work we present a strategy for author identification for documents written in Portuguese. It takes intoaccount a writer-independent model which reduces the pattern recognition problem to a single model andtwo classes, hence, makes it possible to build robust system even when few genuine samples per writer areavailable. We also introduce a stylometric feature set, which is based on the conjunctions of the Portugueselanguage. Experiments on a database composed of short articles from 10 different authors and Support VectorMachine (SVM) as classifier demonstrate that the proposed strategy can produced results comparable to theliterature 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503609 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.36 Vol.11 |
| format | Artículo científico |
| id | redalyc_92503609 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Author Identification using Stylometric Features Daniel Pavelec Ingeniería Stylometry Pattern Recognition Author Identification Author Identification using Stylometric Features Daniel Pavelec Edson Justino Luiz S. Oliveira Ingeniería Stylometry Pattern Recognition Author Identification In this work we present a strategy for author identification for documents written in Portuguese. It takes intoaccount a writer-independent model which reduces the pattern recognition problem to a single model andtwo classes, hence, makes it possible to build robust system even when few genuine samples per writer areavailable. We also introduce a stylometric feature set, which is based on the conjunctions of the Portugueselanguage. Experiments on a database composed of short articles from 10 different authors and Support VectorMachine (SVM) as classifier demonstrate that the proposed strategy can produced results comparable to theliterature 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503609 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.36 Vol.11 |
| title | Author Identification using Stylometric Features |
| topic | Ingeniería Stylometry Pattern Recognition Author Identification |
| url | https://www.redalyc.org/articulo.oa?id=92503609 |