Natural Language Processing technologies study for Document Profiling

Nowadays, search for documents on Internet is becoming increasingly difficult. The reason is the amount of content published by users (articles, comments, blogs, reviews). How to facilitate that the users can find their required documents? What would be necessary to provide useful document meta-data for supporting search engines? In this article, we present a study of some Natural Language Processing (NLP) technologies can be useful for facilitating the proper identification of documents according to the user needs. For this purpose, it is designed an advanced document profile that will be able to represent semantic meta-data extracted from documents by using NLP technologies. The research is basically focused on the study of different NLP technologies in order to support the creation our advanced document profile from semantic perspectives.

Autores: 
Antonio Guillén Espejo
Yoan Gutiérrez Vázquez
Rafael Muñoz Guillena
Tipo de publicación: 
Acta de congreso
Nombre de la revista: 
RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING
Revisión por pares: 
Internacional: 
Publicable: