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Více informací o knize Automatic Plagiarism Detection Based on Latent Semantic Analysis

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Anotace knihy

Plagiarism is a widely spread problem that is the main focus of interest these days. The main objective of this work is the application of Latent Semantic Analysis (LSA) framework in the field of written-text plagiarism detection. This particular field faces various issues that are discussed thoroughly. In order to infer the latent semantics from the given text, Singular Value Decomposition (SVD) is employed for the purpose of large statistical computations. To overcome issues connected with a large amount of extracted N-grams from the text, a feature selection and subsequently a random indexing techniques are applied. Moreover, this thesis deals with the influence of text pre-processing on the accuracy of plagiarism detection. Simultaneously, the aspects of multilingual environment are explored. Various approaches in common use are discussed and compared with the new proposed method.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Information technology: general issues

• Plný název: Automatic Plagiarism Detection Based on Latent Semantic Analysis
• Podnázev: Theory and Practice
• Autor: Zdenek Ceska
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 128
• EAN: 9783639282078
• ISBN: 3639282078
• ID: 06835385
• Nakladatelství: VDM Verlag
• Hmotnost: 200 g
• Rozměry: 229 × 152 × 8 mm
• Datum vydání: 09. August 2010

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