An Efficient Methodology for the Cross-Comparison of Text Documents

Shu Kai Yang, Chien Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Cross comparison of documents is important to school assignments, but it is rarely implemented because of the heavy cost of text-similarity evaluation algorithms. The paper presents an efficient algorithm based on a hybrid of LCS and hashing, and extends the framework of cross comparison that visualizes the suspected plagiarism within massive submissions.

Original languageEnglish
Title of host publicationProceedings - 2020 International Computer Symposium, ICS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages100-104
Number of pages5
ISBN (Electronic)9781728192550
DOIs
StatePublished - Dec 2020
Event2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
Duration: 17 Dec 202019 Dec 2020

Publication series

NameProceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
CountryTaiwan
CityTainan
Period17/12/2019/12/20

Keywords

  • cross comparison
  • LCS
  • SimHash
  • text similarity

Fingerprint Dive into the research topics of 'An Efficient Methodology for the Cross-Comparison of Text Documents'. Together they form a unique fingerprint.

Cite this