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Comparative analysis of similarity measures for sentence level semantic measurement of text


Mohd Saad, Sazianti and Kamarudin, Siti Sakira (2013) Comparative analysis of similarity measures for sentence level semantic measurement of text. In: 2013 IEEE International Conference on Control System, Computing and Engineering, 29 Nov. - 1 Dec. 2013, Penang, Malaysia.

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Abstract

The accuracy of similarity measurement between sentences is critical to the performance of several applications such as text mining, question answering, and text summarization. This paper focuses on calculating semantic similarities between sentences and performing a comparative analysis among identified similarity measurement techniques.Comparison between three popular similarity measurements which are Jaccard, Cosine and Dice similarity measures has been conducted.The performance of each identified measurement was evaluated and recorded.In this paper, we use a large lexical database of English known as WordNet to calculate the world-toward semantic similarity.The result of this research concludes that the Jaccard and Dice performs better in measuring the semantic similarity between sentences.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN: 978-1-4799-1506-4
Uncontrolled Keywords: Semantic Similarity, Similarity Measurement, Sentence Similarity
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Siti Sakira Kamaruddin
Date Deposited: 23 Feb 2014 09:19
Last Modified: 23 Feb 2014 09:19
URI: http://repo.uum.edu.my/id/eprint/10259

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