Context identification of scientific papers via agent-based model for text mining (ABM-TM)
In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. A user provides the agent with keywords and assigns a threshold value for each given keyword, the agent in turn attempts to find papers that match the keywords within a defined...
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Springer Verlag
2023
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| author | Mahmoud M.A. Ahmad M.S. Yusoff M.Z.M. Mustapha A. |
| author2 | 55247787300 |
| author_facet | 55247787300 Mahmoud M.A. Ahmad M.S. Yusoff M.Z.M. Mustapha A. |
| 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 | In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. A user provides the agent with keywords and assigns a threshold value for each given keyword, the agent in turn attempts to find papers that match the keywords within a defined threshold. To achieve context recognition, the algorithm mines the keywords and identifies the potential context from analysing a paper�s abstract. The mining process entails data cleaning, formatting, filtering, and identifying the candidate keywords. Subsequently, based on the strength of each keyword and the threshold value, the algorithm facilitates the identification of the paper�s potential context. � Springer International Publishing Switzerland 2015. |
| format | Article |
| id | my.uniten.dspace-22576 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Springer Verlag |
| record_format | dspace |
| spelling | my.uniten.dspace-225762023-05-29T14:02:12Z Context identification of scientific papers via agent-based model for text mining (ABM-TM) Mahmoud M.A. Ahmad M.S. Yusoff M.Z.M. Mustapha A. 55247787300 56036880900 22636590200 57200530694 In this paper, we propose an agent-based text mining algorithm to extract potential context of papers published in the WWW. A user provides the agent with keywords and assigns a threshold value for each given keyword, the agent in turn attempts to find papers that match the keywords within a defined threshold. To achieve context recognition, the algorithm mines the keywords and identifies the potential context from analysing a paper�s abstract. The mining process entails data cleaning, formatting, filtering, and identifying the candidate keywords. Subsequently, based on the strength of each keyword and the threshold value, the algorithm facilitates the identification of the paper�s potential context. � Springer International Publishing Switzerland 2015. Final 2023-05-29T06:02:12Z 2023-05-29T06:02:12Z 2015 Article 10.1007/978-3-319-10774-5_5 2-s2.0-84921526597 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921526597&doi=10.1007%2f978-3-319-10774-5_5&partnerID=40&md5=3a4b0e97f1d84b4835d35b1e45bebdd0 https://irepository.uniten.edu.my/handle/123456789/22576 572 51 61 Springer Verlag Scopus |
| spellingShingle | Mahmoud M.A. Ahmad M.S. Yusoff M.Z.M. Mustapha A. Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title | Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title_full | Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title_fullStr | Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title_full_unstemmed | Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title_short | Context identification of scientific papers via agent-based model for text mining (ABM-TM) |
| title_sort | context identification of scientific papers via agent-based model for text mining (abm-tm) |
| url_provider | http://dspace.uniten.edu.my/ |