Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis
Textual data are a rich source of knowledge hence, sentence comparison has become one of the important tasks in text mining related works.Most previous work in text comparison are performed at document level, research suggest that comparing sentence level text is a non-trivial problem.One of the rea...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Science Publishing Corporation Inc
2018
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/24418/1/IJET%207%202.14%202018%2032%2035.pdf |
| _version_ | 1803628717928349696 |
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| author | Kamaruddin, Siti Sakira Yusof, Yuhanis Abu Bakar, Nur Azzah Ahmed Tayie, Mohamed Abdulsattar A.Jabbar Alkubaisi, Ghaith |
| author_facet | Kamaruddin, Siti Sakira Yusof, Yuhanis Abu Bakar, Nur Azzah Ahmed Tayie, Mohamed Abdulsattar A.Jabbar Alkubaisi, Ghaith |
| author_sort | Kamaruddin, Siti Sakira |
| collection | UUM |
| description | Textual data are a rich source of knowledge hence, sentence comparison has become one of the important tasks in text mining related works.Most previous work in text comparison are performed at document level, research suggest that comparing sentence level text is a non-trivial problem.One of the reason is two sentences can convey the same meaning with totally dissimilar words.This paper presents the results of a comparative analysis on three representation schemes i.e. term frequency inverse document frequency, Latent Semantic Analysis and Graph based representation using three similarity measures i.e. Cosine, Dice coefficient and Jaccard similarity to compare the similarity of sentences.Results reveal that the graph based representation and the Jaccard similarity measure outperforms the others in terms of precision, recall and F-measures. |
| first_indexed | 2024-07-04T06:26:24Z |
| format | Article |
| id | uum-24418 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:26:24Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation Inc |
| record_format | dspace |
| spelling | uum-244182018-07-18T06:16:22Z https://repo.uum.edu.my/id/eprint/24418/ Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis Kamaruddin, Siti Sakira Yusof, Yuhanis Abu Bakar, Nur Azzah Ahmed Tayie, Mohamed Abdulsattar A.Jabbar Alkubaisi, Ghaith QA75 Electronic computers. Computer science Textual data are a rich source of knowledge hence, sentence comparison has become one of the important tasks in text mining related works.Most previous work in text comparison are performed at document level, research suggest that comparing sentence level text is a non-trivial problem.One of the reason is two sentences can convey the same meaning with totally dissimilar words.This paper presents the results of a comparative analysis on three representation schemes i.e. term frequency inverse document frequency, Latent Semantic Analysis and Graph based representation using three similarity measures i.e. Cosine, Dice coefficient and Jaccard similarity to compare the similarity of sentences.Results reveal that the graph based representation and the Jaccard similarity measure outperforms the others in terms of precision, recall and F-measures. Science Publishing Corporation Inc 2018 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/24418/1/IJET%207%202.14%202018%2032%2035.pdf Kamaruddin, Siti Sakira and Yusof, Yuhanis and Abu Bakar, Nur Azzah and Ahmed Tayie, Mohamed and Abdulsattar A.Jabbar Alkubaisi, Ghaith (2018) Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis. International Journal of Engineering & Technology, 7 (2.14). pp. 32-35. ISSN 2227-524X http://doi.org/10.14419/ijet.v7i2.14.11149 doi:10.14419/ijet.v7i2.14.11149 doi:10.14419/ijet.v7i2.14.11149 |
| spellingShingle | QA75 Electronic computers. Computer science Kamaruddin, Siti Sakira Yusof, Yuhanis Abu Bakar, Nur Azzah Ahmed Tayie, Mohamed Abdulsattar A.Jabbar Alkubaisi, Ghaith Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title | Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title_full | Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title_fullStr | Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title_full_unstemmed | Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title_short | Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis |
| title_sort | graph based representation for sentence similarity measure a comparative analysis |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/24418/1/IJET%207%202.14%202018%2032%2035.pdf |
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