A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text

The semantic similarity between two concepts is widely used in natural language processing. In this article, we propose a method using WordNet 3.1 to determine the similarity based on feature combinations. This work focuses on overcoming the ambiguity in social media text via the selection of inform...

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Main Authors:	Ali Muttaleb, Hasan, Noorhuzaimi@Karimah, Mohd Noor, Rassem, Taha H., Shahrul Azman, Mohamed Noah, Ahmed Muttaleb, Hasan
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Singapore 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/27882/ http://umpir.ump.edu.my/id/eprint/27882/ http://umpir.ump.edu.my/id/eprint/27882/1/127.%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf http://umpir.ump.edu.my/id/eprint/27882/2/127.1%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf

id	ump-27882
recordtype	eprints
spelling	ump-278822020-02-18T05:50:26Z http://umpir.ump.edu.my/id/eprint/27882/ A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text Ali Muttaleb, Hasan Noorhuzaimi@Karimah, Mohd Noor Rassem, Taha H. Shahrul Azman, Mohamed Noah Ahmed Muttaleb, Hasan QA76 Computer software The semantic similarity between two concepts is widely used in natural language processing. In this article, we propose a method using WordNet 3.1 to determine the similarity based on feature combinations. This work focuses on overcoming the ambiguity in social media text via the selection of informative features to improve semantic representation. In addition, this research uses social media as its research domain used in this work, and the study is only limited to the politic dataset. A feature-based method is applied to predict the outcome and improve the performance of the proposed method depending on factors related to the fidelity, continuity, and balance of knowledge sources in WordNet 3.1. Semantic similarity measurements among words are insufficient and unbalanced features. However, this study presents a semantic similarity measure of a feature-based method in 1WordNet 3.1 to determine the similarity between two concepts/words depending on the selected features used to measure their similarity, which is also known as a “noun” and “is-a” relations-based method. We evaluate our proposed method using the data set in Agirre et al. (2009) ( 2AG203) and compare our results of our new method as which three of methods taxonomy relation, non-taxonomy and Glosses with those of related studies. The correlation with human judgments is subjective and low based on our results was a better. Experimental results show that our new method significantly outperforms other existing computational methods with the following results: r = 0.73%, p = 0.69%, m = 0.71% and nonzero = 0.95%. Springer Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27882/1/127.%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf pdf en http://umpir.ump.edu.my/id/eprint/27882/2/127.1%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf Ali Muttaleb, Hasan and Noorhuzaimi@Karimah, Mohd Noor and Rassem, Taha H. and Shahrul Azman, Mohamed Noah and Ahmed Muttaleb, Hasan (2019) A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text. In: 10th Icatse International Conference on Information Science and Applications 2019, 16 - 18 Disember 2019 , Seoul, Korea. pp. 471-483., 621. ISBN Online 978-981-15-1465-4 https://doi.org/10.1007/978-981-15-1465-4_47
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ali Muttaleb, Hasan Noorhuzaimi@Karimah, Mohd Noor Rassem, Taha H. Shahrul Azman, Mohamed Noah Ahmed Muttaleb, Hasan A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
description	The semantic similarity between two concepts is widely used in natural language processing. In this article, we propose a method using WordNet 3.1 to determine the similarity based on feature combinations. This work focuses on overcoming the ambiguity in social media text via the selection of informative features to improve semantic representation. In addition, this research uses social media as its research domain used in this work, and the study is only limited to the politic dataset. A feature-based method is applied to predict the outcome and improve the performance of the proposed method depending on factors related to the fidelity, continuity, and balance of knowledge sources in WordNet 3.1. Semantic similarity measurements among words are insufficient and unbalanced features. However, this study presents a semantic similarity measure of a feature-based method in 1WordNet 3.1 to determine the similarity between two concepts/words depending on the selected features used to measure their similarity, which is also known as a “noun” and “is-a” relations-based method. We evaluate our proposed method using the data set in Agirre et al. (2009) ( 2AG203) and compare our results of our new method as which three of methods taxonomy relation, non-taxonomy and Glosses with those of related studies. The correlation with human judgments is subjective and low based on our results was a better. Experimental results show that our new method significantly outperforms other existing computational methods with the following results: r = 0.73%, p = 0.69%, m = 0.71% and nonzero = 0.95%.
format	Conference or Workshop Item
author	Ali Muttaleb, Hasan Noorhuzaimi@Karimah, Mohd Noor Rassem, Taha H. Shahrul Azman, Mohamed Noah Ahmed Muttaleb, Hasan
author_facet	Ali Muttaleb, Hasan Noorhuzaimi@Karimah, Mohd Noor Rassem, Taha H. Shahrul Azman, Mohamed Noah Ahmed Muttaleb, Hasan
author_sort	Ali Muttaleb, Hasan
title	A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
title_short	A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
title_full	A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
title_fullStr	A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
title_full_unstemmed	A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text
title_sort	proposed method for the semantic similarity use wordnet to handle the ambiguity in social media text
publisher	Springer Singapore
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/27882/ http://umpir.ump.edu.my/id/eprint/27882/ http://umpir.ump.edu.my/id/eprint/27882/1/127.%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf http://umpir.ump.edu.my/id/eprint/27882/2/127.1%20A%20proposed%20method%20for%20the%20semantic%20Similarity.pdf
first_indexed	2023-09-18T22:43:44Z
last_indexed	2023-09-18T22:43:44Z
_version_	1777417086004363264

A proposed method for the semantic Similarity use WordNet to handle the ambiguity in Social Media text

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