Selecting syntactic attributes for authorship attribution
| Autor: | Edson J. R. Justino, Luiz S. Oliveira, Paulo Junior Varela |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Structured support vector machine
business.industry Computer science Mode (statistics) Machine learning computer.software_genre Support vector machine Relevance vector machine Authorship attribution Genetic algorithm Margin classifier Artificial intelligence business computer Natural language processing |
| Zdroj: | IJCNN |
| DOI: | 10.1109/ijcnn.2011.6033217 |
| Popis: | In this work we present a methodology to select syntactic attributes for authorship attribution. The approach takes into account a multi-objective genetic algorithm and a Support Vector Machine classifier and it operates in a wrapper mode. Through a series of comprehensive experiments on a database composed of 3000 short articles written in Portuguese we show that the proposed methodology is able to provide a concise subset of attributes, which increases the recognition rate in about 15 percentage points. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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