Publicado en 3C Tecnología. Special Issue – May 2019
Autores
Resumen
Abstract
The emergence of digital media has tremendously increased the amount of unstructured data. Recently 80% of data, generated over the web, is in an unstructured format. This immense amount of data is a great source for the knowledge discovery and thus, may be utilized for extracting purposeful information. This study adopted a lexicon–based approach for automatic concept extraction from online news stories and events. An application prototype has been developed to demonstrate the applicability and effectiveness of the adopted approach. The extracted knowledge about news stories, articles and blogs are essential in understanding in–depth information for news analysts. This knowledge plays a vital role in building societies since media is considered as an opinion maker for its audience.
Artículo
Palabras clave
Keywords
Online news, Unstructured data, Concept extraction.
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