| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000355983 |
| ISSN: | 1870-9044 |
| Autores: | Chakraborty, Tanmoy1 Bandyopadhyay, Sivaji1 |
| Instituciones: | 1Jadavpur University, Department of Computer Science and Engineering, Calcuta, Bengala Occidental. India |
| Año: | 2011 |
| Número: | 44 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | Stylometry, the science of inferring characteristics of the author from the characteristics of documents written by that author, is a problem with a long history and belongs to the core task of Text categorization that involves authorship identification, plagiarism detection, forensic investigation, computer security, copyright and estáte disputes etc. In this work, we present a strategy for stylometry detection of documents written in Bengali. We adopt a set of fine–grained attribute features with a set of lexical markers for the analysis of the text and use three semi–supervised measures for making decisions. Finally, a majority voting approach has been taken for final classification. The system is fully automatic and language–independent. Evaluation results of our attempt for Bengali author' s stylometry detection show reasonably promising accuracy in comparison to the baseline model |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial, Análisis de textos, Estilometría, Marcadores de estilo, Distancia euclideana |
| Keyword: | Computer science, Artificial intelligence, Text analysis, Stylometry, Style markers, Euclidean distance |
| Texto completo: | Texto completo (Ver HTML) |
