Modern WordNet: An Affective Extension of WordNet
Dikshit Kumar,
Agam Kumar,
Man Singh,
Archana Patel () and
Sarika Jain ()
Additional contact information
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
A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 527-536 from Springer
Abstract:
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.
Keywords: Wordnet; Ontology; Dictionary; Thesaurus (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_51
Ordering information: This item can be ordered from
http://www.springer.com/9783030418625
DOI: 10.1007/978-3-030-41862-5_51
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().