Concept Based Clustering Approach for Efficiency Evaluation for Homonym Words Identification

Sunil Kumar, Rajendra Gupta

2023

Abstract

The word homonym is derived from the Greek word ’homonyms,’ which means ’to have the same name’. The prefix ’homo’ and the suffix ’nym’ both indicate the same thing. Two or more words having the same spelling or sound but different meanings are called homonyms. The concepts could be words/phrases or expression and they are completely dependent on the sentence semantic organization. In this paper, there are four similarity matrices are computed utilizing the similarities found using the word-based and combination method concept analysis. For assessing the influence of concept-based similarity on clustering, three typical document clustering approaches has been analysed. Experiments shows that the method described in this research outperforms the earlier proposed methods in identifying homonyms in intersections of tag contexts using clustering algorithm which is the best way to find them. The K-nearest algorithm performs better similarity measures for concept-based homonym words.

Paper Citation

in Harvard Style

Kumar S. and Gupta R. (2023). Concept Based Clustering Approach for Efficiency Evaluation for Homonym Words Identification. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 153-157. DOI: 10.5220/0012607900003739

in Bibtex Style

@conference{ai4iot23,
author={Sunil Kumar and Rajendra Gupta},
title={Concept Based Clustering Approach for Efficiency Evaluation for Homonym Words Identification},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={153-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012607900003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Concept Based Clustering Approach for Efficiency Evaluation for Homonym Words Identification
SN - 978-989-758-661-3
AU - Kumar S.
AU - Gupta R.
PY - 2023
SP - 153
EP - 157
DO - 10.5220/0012607900003739
PB - SciTePress