Text Summarization on Verdicts of Industrial Relations Disputes
Using the Cross-Latent
Semantic Analysis and Long Short-Term Memory
by Galih Wasis Wicaksono
Submission date: 25-Sep-2023 11:32AM (UTC+0700) Submission ID: 2176042007
File name: zation_cross_latent_semantic_analysis_long_short-term_memory.pdf (3.48M) Word count: 5120
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Disputes Using the Cross-Latent Semantic Analysis and Long Short-Term Memory
ORIGINALITY REPORT
PRIMARY SOURCES
stmik-budidarma.ac.id
Internet Source
ejurnal.seminar-id.com
Internet Source
thesai.org
Internet Source
www.jatit.org
Internet Source
Nur Hayatin, Gita Indah Marthasari, Syadza Anggraini. "Improvement of Cluster
Importance Algorithm with Sentence Position for News Summarization", 2018 5th
International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2018
Publication
Stephen H. Fairclough. "Designing human- computer interaction with neuroadaptive
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technology", Elsevier BV, 2022
Publication
ia800805.us.archive.org
Internet Source
jurnal.iaii.or.id
Internet Source
vdocuments.site
Internet Source
ijeecs.iaescore.com
Internet Source
repository.unsri.ac.id
Internet Source
