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Modern WordNet: An Affective Extension of WordNet

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Dikshit Kumar

    (N.I.T. Kurukshetra, Department of Computer Application)

  • Agam Kumar

    (N.I.T. Kurukshetra, Department of Computer Application)

  • Man Singh

    (N.I.T. Kurukshetra, Department of Computer Application)

  • Archana Patel

    (N.I.T. Kurukshetra, Department of Computer Application)

  • Sarika Jain

    (N.I.T. Kurukshetra, Department of Computer Application)

Abstract

Semantic similarity and definition of words are very crucial part of the data. Therefore there are various online dictionaries and thesauri available on the web. But wordnet is the most famous online lexical system. It is an ontology-based system which organizes english nouns, verbs, and adjectives into synonym sets, each representing one underlying lexical concept. We have analyzed all important features of online dictionaries and thesauri. We found that some important features are missing into existing wordnet. Therefore in this paper, we have developed a modern wordnet which provides classification of the sentences into part of speech. In order to achieve our objective, we have developed a new ontology for modern wordnet.

Suggested Citation

  • Dikshit Kumar & Agam Kumar & Man Singh & Archana Patel & Sarika Jain, 2020. "Modern WordNet: An Affective Extension of WordNet," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 527-536, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_51
    DOI: 10.1007/978-3-030-41862-5_51
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