Comparison of document similarity algorithms in extracting document keywords from an academic paper
The idea of this study is to validate a list of keywords derived from a scientific article by a domain expert from years of knowledge with prominent document similarity algorithms. For this study, a list of handcrafted keywords generated by Electric Double Layer Capacitor (EDLC) experts are chosen,...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34309/7/Comparison%20of%20document%20similarity.pdf |
| _version_ | 1825824008171421696 |
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| author | Miah, M. Saef Ullah Junaida, Sulaiman Azad, Saiful Kamal Z., Zamli Rajan, Jose |
| author_facet | Miah, M. Saef Ullah Junaida, Sulaiman Azad, Saiful Kamal Z., Zamli Rajan, Jose |
| author_sort | Miah, M. Saef Ullah |
| collection | UMP |
| description | The idea of this study is to validate a list of keywords derived from a scientific article by a domain expert from years of knowledge with prominent document similarity algorithms. For this study, a list of handcrafted keywords generated by Electric Double Layer Capacitor (EDLC) experts are chosen, and relevant documents to EDLC are considered for the comparison. Then, different similarity calculation algorithms were employed in different settings on the documents such as using the whole texts of the documents, selecting the positive sentences of the documents, and generating similarity score with automatically extracted keywords from the documents. The experiment’s outcome provides us with findings that the machine-generated keywords are mostly similar to the curated list by the domain experts. This study also suggests the preferable algorithms for similarity calculation and automated key-phrase extraction for the EDLC domain. |
| first_indexed | 2024-03-06T12:57:42Z |
| format | Conference or Workshop Item |
| id | UMPir34309 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:57:42Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | UMPir343092022-07-29T03:58:14Z http://umpir.ump.edu.my/id/eprint/34309/ Comparison of document similarity algorithms in extracting document keywords from an academic paper Miah, M. Saef Ullah Junaida, Sulaiman Azad, Saiful Kamal Z., Zamli Rajan, Jose QA75 Electronic computers. Computer science The idea of this study is to validate a list of keywords derived from a scientific article by a domain expert from years of knowledge with prominent document similarity algorithms. For this study, a list of handcrafted keywords generated by Electric Double Layer Capacitor (EDLC) experts are chosen, and relevant documents to EDLC are considered for the comparison. Then, different similarity calculation algorithms were employed in different settings on the documents such as using the whole texts of the documents, selecting the positive sentences of the documents, and generating similarity score with automatically extracted keywords from the documents. The experiment’s outcome provides us with findings that the machine-generated keywords are mostly similar to the curated list by the domain experts. This study also suggests the preferable algorithms for similarity calculation and automated key-phrase extraction for the EDLC domain. Institute of Electrical and Electronics Engineers 2021-09-17 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34309/7/Comparison%20of%20document%20similarity.pdf Miah, M. Saef Ullah and Junaida, Sulaiman and Azad, Saiful and Kamal Z., Zamli and Rajan, Jose (2021) Comparison of document similarity algorithms in extracting document keywords from an academic paper. In: IEEE 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM) , 24-26 August 2021 , Pekan, Pahang, Malaysia. pp. 631-636.. (Published) https://doi.org/10.1109/ICSECS52883.2021.00121 |
| spellingShingle | QA75 Electronic computers. Computer science Miah, M. Saef Ullah Junaida, Sulaiman Azad, Saiful Kamal Z., Zamli Rajan, Jose Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title | Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title_full | Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title_fullStr | Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title_full_unstemmed | Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title_short | Comparison of document similarity algorithms in extracting document keywords from an academic paper |
| title_sort | comparison of document similarity algorithms in extracting document keywords from an academic paper |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/34309/7/Comparison%20of%20document%20similarity.pdf |
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