Named entities for hot topics ranking and ontology navigation aid

ABSTRACT

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.

REFERENCES

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• 3: E. Bick. The Parsing System PALAVRAS -- Automatic Grammatical Analysis of Portuguese in a Constraint Grammar Framework. PhD thesis, Department of Linguistics, University of Arhus, Dinamarca, 2000.
• 4: C. Mota and D. Santos, editors. Desafios na avaliacao conjunta do reconhecimento de entidades mencionadas: Actas do Encontro do Segundo HAREM. Linguateca, Aveiro, Portugal, to appear.
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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Relevance feedback

Additional Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.4 Hypertext/Hypermedia
          Subjects: Navigation

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.7 Natural Language Processing
          Subjects: Text analysis

General Terms:
Algorithms, Design, Experimentation, Human Factors

Keywords:
hot topics, natural language processing, navigation aid, semantic tagging, web2.0