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 Automatic Plagiarism Detection Based on Latent Semantic Analysis. Theory and Practice
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Automatic Plagiarism Detection Based on Latent Semantic Analysis. Theory and Practice

автор Zden?k ?. издательство Книга по Требованию Локальные и корпоративные сети
Cтраниц 128        мягкая обложка       
Аннотация:The main objective of this work is the application of Latent Semantic Analysis (LSA) framework in the field of written-text plagiarism detection. 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. 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. Plagiarism is a widely spread problem that is the main focus of interest these days. Various approaches in common use are discussed and compared with the new proposed method.
Автор: Zden?k ?.
Издательство: Книга по Требованию
Год:2010
Цена:
2415 руб
Нет в наличии
Поиск: Automatic Plagiarism Detection Based on Latent Semantic Analysis. Theory and Practice
НОВЫЙ ГОД СИМВОЛ 2013 ГОДАУКРАШЕНИЯ
КАРНАВАЛ НА НОВЫЙ ГОД РАСПРОДАЖА
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