named entities for hot topics ranking and ontology navigation aid
This paper presents an application which relies on Natural Language Processing techniques to identify hot topics in a news portal. Named Entity Recognition, semantic tagging and identity identification are used to acquire knowledge of the domain, generate ontologies automatically and rank hot topics for the news in the portal.
hot topics navigation aid natural language processing semantic tagging web2.0