Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining
Readability is a great challenge necessary to solve in text summarization research. Referring to the previous research studies, one key concern is minimizing the gap between the summary result and reader understanding. It is important to keep the meaning of the text to reach a readable summary resul...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2023
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| Online Access: | http://eprints.utem.edu.my/id/eprint/27713/1/Enhancement%20of%20text%20representation%20for%20Indonesian%20document%20summarization%20with%20deep%20sequential%20pattern%20mining.pdf http://eprints.utem.edu.my/id/eprint/27713/2/Enhancement%20of%20text%20representation%20for%20Indonesian%20document%20summarization%20with%20deep%20sequential%20pattern%20mining.pdf http://eprints.utem.edu.my/id/eprint/27713/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123591 |
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http://eprints.utem.edu.my/id/eprint/27713/1/Enhancement%20of%20text%20representation%20for%20Indonesian%20document%20summarization%20with%20deep%20sequential%20pattern%20mining.pdfhttp://eprints.utem.edu.my/id/eprint/27713/2/Enhancement%20of%20text%20representation%20for%20Indonesian%20document%20summarization%20with%20deep%20sequential%20pattern%20mining.pdf
http://eprints.utem.edu.my/id/eprint/27713/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=123591