Çizge Benzerli?i Yöntemi ile Doküman Siniflandirma

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dc.authorscopusid57200138639
dc.authorscopusid57200139869
dc.authorscopusid57207461582
dc.authorscopusid57208976075
dc.authorscopusid6602929072
dc.contributor.authorUçkan T.
dc.contributor.authorHark C.
dc.contributor.authorSeyyarer E.
dc.contributor.authorAyata F.
dc.contributor.authorKarci A.
dc.date.accessioned2024-08-04T20:03:57Z
dc.date.available2024-08-04T20:03:57Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018 -- 28 September 2018 through 30 September 2018 -- 144523en_US
dc.description.abstractThe classification of the documents is at the beginning of the topics that are studied extensively today. Using text similarity, many areas are used, such as whether citations are quoted elsewhere or the information searched in search engines is fast and accurate. A variety of methods are used while looking for similarities between documents. Similarity measurements are made by two basic methods, word-based and sentence-based, during the comparison of several documents. While word-based similarity measurements are made, many distance measurement methods such as Jaccard, Dice, Cosine similarity are used. In this study, the paragraphs in different documents will be broken down by sentence basis and they will be represented by a graph, and a study will be done on the classification of the documents using Hamming distance measurements by XOR method of neighborhood matrices obtained from these documents. © 2018 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2018.8620926
dc.identifier.isbn9781538668788
dc.identifier.scopus2-s2.0-85062517485en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2018.8620926
dc.identifier.urihttps://hdl.handle.net/11616/92234
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing, IDAP 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDocument Similartyen_US
dc.subjectGraphsen_US
dc.subjectHamming Distanceen_US
dc.titleÇizge Benzerli?i Yöntemi ile Doküman Siniflandirmaen_US
dc.typeConference Objecten_US

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