Analysis on the Effect of Term-Document's Matrix to the Accuracy of Latent-Semantic-Analysis-Based Cross-Language Plagiarism Detection
Authors: 
Anak Agung Putri Ratna, F. Astha Ekadiyanto, Mardiyah, Prima Dewi Purnamasari, Muhammad SalmanAuthors Info & Claims
Anak Agung Putri Ratna, F. Astha Ekadiyanto, Mardiyah, Prima Dewi Purnamasari, Muhammad SalmanAuthors Info & ClaimsAbstract
This paper presents the results of experimental investigation on the impact of term-document matrix variations to the accuracy of cross-language LSA-based plagiarism detection. The experiment was focusing in comparing Indonesian and English papers. The increase of document definition size as the source of matrix construction significantly caused negative impact to the detection accuracy in all scenarios. The results of the experiments showed that the document definition size must be kept below 10 in order to maintain high accuracy, and reached its worst performance at 25. Additionally, the implementation of term-document matrix using the frequency of word's occurrence was found beneficial to the improvement of detection accuracy compared to the binary implementation using simply the existence/absence of words.
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Published In
December 2016
343 pages
ISBN:9781450347938
DOI:10.1145/3033288
Copyright © 2016 ACM.
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Association for Computing Machinery
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Published: 17 December 2016
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ICNCC '16
ICNCC '16: Fifth International Conference on Network, Communication and Computing
December 17 - 21, 2016
Kyoto, Japan
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