A prototype for context identification of scientific papers via agent-based text mining
Abstracting; Data mining; Filtration; Robotics; Agent based; Agent based simulation; Context identification; Scientific papers; Text mining; Threshold setting; Work in progress; Multi agent systems
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833350291003539456 |
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| author | Mahmoud M.A. Ahmad M.S. |
| author2 | 55247787300 |
| author_facet | 55247787300 Mahmoud M.A. Ahmad M.S. |
| author_sort | Mahmoud M.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Abstracting; Data mining; Filtration; Robotics; Agent based; Agent based simulation; Context identification; Scientific papers; Text mining; Threshold setting; Work in progress; Multi agent systems |
| format | Conference Paper |
| id | my.uniten.dspace-23328 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-233282023-05-29T14:39:31Z A prototype for context identification of scientific papers via agent-based text mining Mahmoud M.A. Ahmad M.S. 55247787300 56036880900 Abstracting; Data mining; Filtration; Robotics; Agent based; Agent based simulation; Context identification; Scientific papers; Text mining; Threshold setting; Work in progress; Multi agent systems In many circumstances, it is quite challenging for researchers to look for papers that match their interests when searched from databases. More often, papers which have been searched are perused individually to precisely identify the relevant contents. In this paper, we present a prototype to test our work-in-progress of an agent-based text mining algorithm that extracts and identifies the context of potentially relevant papers published in the WWW. The prototype involves an interface that enables a user to test the algorithm and view the results. The interface links to an abstract of a paper that the algorithm mines. We conduct tests on three abstracts of selected papers from the literature. We conduct the tests on various threshold settings that filter unnecessary data. The results show that the algorithm successfully identifies the contexts of the tested abstracts with thresholds of between 30%-60%. � 2016 IEEE. Final 2023-05-29T06:39:31Z 2023-05-29T06:39:31Z 2017 Conference Paper 10.1109/ISAMSR.2016.7810000 2-s2.0-85015082563 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015082563&doi=10.1109%2fISAMSR.2016.7810000&partnerID=40&md5=b0c94d8767cd9acdde4ff7ec9336423e https://irepository.uniten.edu.my/handle/123456789/23328 7810000 40 44 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Mahmoud M.A. Ahmad M.S. A prototype for context identification of scientific papers via agent-based text mining |
| title | A prototype for context identification of scientific papers via agent-based text mining |
| title_full | A prototype for context identification of scientific papers via agent-based text mining |
| title_fullStr | A prototype for context identification of scientific papers via agent-based text mining |
| title_full_unstemmed | A prototype for context identification of scientific papers via agent-based text mining |
| title_short | A prototype for context identification of scientific papers via agent-based text mining |
| title_sort | prototype for context identification of scientific papers via agent-based text mining |
| url_provider | http://dspace.uniten.edu.my/ |