Computation of Similarity Between Two Pair of Sentence Using Word-Net

Authors

  • Atul Gupta Bhagwant University, Ajmer, Rajastan , India
  • Kalpana Sharma Bhagwant University, Ajmer, Rajastan , India
  • Krishna Kumar Goyal Raja Balwant Singh Management Technical Campus, Agra, India

Keywords:

Semantic, Similarity, Verb, WordNet, Stem, Derivation Noun

Abstract

In the current era the data is available enormously and abundantly, but to find relevant and accurate data from the availability is a humongous task. Searching is required to be accurate and exact then it gives a satisfaction., But path based or edge counting approach, Information content approach, feature based approach and Hybrid approaches unable to provide the satisfactory search result. Current available algorithms are not that efficient to provide exact and accurate search result. In this paper we have implemented and found a better similarity computation compared with existing algorithms. Calculation of similarity between sentence pair based on Word-Net noun IS-A relationship and verb relationship have been done. The proposed algorithm is at par with the mean human similarity measure and it performs efficiently in sentence similarity computation too.

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Comparison between word 1 Vs word 2 in List 1 and List 2

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Published

16.04.2023

How to Cite

Gupta, A. ., Sharma, K. ., & Goyal, K. K. . (2023). Computation of Similarity Between Two Pair of Sentence Using Word-Net. International Journal of Intelligent Systems and Applications in Engineering, 11(5s), 458–467. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/2807