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Turnitin (stylized as turnitin) is an Internet-based similarity detection service run by the American company Turnitin, LLC, a subsidiary of Advance Publications. Founded in 1998, it sells its licenses to universities and high schools who then use the software as a service (SaaS) website to check submitted documents against its database and the ...
The approaches are characterized by the type of similarity assessment they undertake: global or local. Global similarity assessment approaches use the characteristics taken from larger parts of the text or the document as a whole to compute similarity, while local methods only examine pre-selected text segments as input. [citation needed]
Turnitin checks and archives millions of papers and uses its database and algorithms to identify plagiarized material. [1]Submissions are compared to over 17 billion web pages, 200 million student papers, and over 100 million additional articles from content publishers, including library databases, text-books, digital reference collections, subscription-based publications, homework helper ...
Turnitin: iParadigms 1997 proprietary: SaaS: Latin & multiple scripts through translation [10] Automatically stores uploaded texts (submitted for checking) in its own database. [11] Unicheck: Unicheck 2014 SaaS proprietary: SaaS: Latin, Cyrillic Pricing "per page" based on 137.5 words per nominal page. [12]
Turnitin does not use keyword matching but rather 'digital fingerprinting'. Turnitin can detect close paraphrasing! by analyzing text for mere word substitutions or added sentences; Turnitin can exclude quotations and bibliography sections; Turnitin views their system not as a copyright/plagiarism detection tool but as an 'editorial supplement'
The most advanced of these, CorenSearchBot (now MadmanBot), compares new articles against a Google search for similar pages. Turnitin, one of the leading plagiarism detection service providers in the world, could offer us a system significantly more comprehensive than that. Turnitin processes millions of documents for thousands of institutions.
Similarity measures play a crucial role in many clustering techniques, as they are used to determine how closely related two data points are and whether they should be grouped together in the same cluster. A similarity measure can take many different forms depending on the type of data being clustered and the specific problem being solved.
SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model.SimRank is applicable in any domain with object-to-object relationships, that measures similarity of the structural context in which objects occur, based on their relationships with other objects.