An artificial immune system based on information theory for keyword extraction from text documents
This paper presents a model for keyword extraction, extending the basic concepts commonly used in this task, in order to get a formal background that allows determining the importance of the keywords to the documents. The proposed model combines an artificial immune system with a mathematical backgr...
- Autores:
-
Romero Rodríguez, Carlos Andrés
Niño Vásquez, Luis Fernando
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2007
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/24120
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/24120
http://bdigital.unal.edu.co/15157/
- Palabra clave:
- Keyword Extraction
Artificial Immune Systems
Information Theory.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | This paper presents a model for keyword extraction, extending the basic concepts commonly used in this task, in order to get a formal background that allows determining the importance of the keywords to the documents. The proposed model combines an artificial immune system with a mathematical background based on information theory; this new model has the advantage that does not need any domain knowledge, neither the use of a stopword list or any previous information about the content of the documents. The final result is a set of keywords for each category into the corpus used. |
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