Check for Plagiarism Using Text Mining

dc.contributor.authorUmidakhon Zukharova
dc.date.accessioned2026-01-01T12:10:44Z
dc.date.issued2023-04-26
dc.description.abstractThe internet provides answers to all queries in the modern world. Therefore, anybody may quickly copy and utilize material from the web at any time. Plagiarism is what is meant by this. It is currently expanding. Typically, when someone plagiarizes a piece of writing, they rephrase, duplicate, and omit sources. Plagiarism is difficult to identify since individuals often paraphrase texts rather than copying them verbatim. The Apache Lucene plagiarism detector has been utilized. The original document is first indexed, and the copied document is then compared to a collection of previously stored documents using cosine similarity.
dc.formatapplication/pdf
dc.identifier.urihttps://zienjournals.com/index.php/tjm/article/view/3797
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/63299
dc.language.isoeng
dc.publisherZien Journals
dc.relationhttps://zienjournals.com/index.php/tjm/article/view/3797/3148
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceTexas Journal of Multidisciplinary Studies; Vol. 19 (2023): TJM; 73-78
dc.source2770-0003
dc.subjectIndexing
dc.subjectApache Lucene
dc.subjectCosine similarity
dc.titleCheck for Plagiarism Using Text Mining
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

item.page.files

item.page.filesection.original.bundle

pagination.showing.labelpagination.showing.detail
loading.default
thumbnail.default.alt
item.page.filesection.name
zukharova_2023_check_for_plagiarism_using_text_mining.pdf
item.page.filesection.size
328.53 KB
item.page.filesection.format
Adobe Portable Document Format

item.page.collections