Text extraction technique applied to plagiarism detection The semantic analysis of statements for analyzing the writing style
Detecting the plagiarized data is of most concern to research organizations, industries and educational institutions on the computational systems for such a task has become important. Existing methods for detection of plagiarized document compute the similarity of document to document basis. We proposed system that will do text mining, exploring the use of keywords and semantic analysis of statements as a feature for analyzing a document. The main goal is to analyze the statements and keywords, looking for segments of the document that is written by other authors. This is considered as a semantic analysis using keyword based statement analysis where paragraphs with unique in style. This approach does work on the use of keywords and semantic analysis of statements, so it is do not require any language specifications. We feel that this feature shows improvement in this area. It will achieve tremendous results compared to existing models. Keywords Plagiarized, semantic analysis, text extraction