A Component-Relation-Map Detection Algorithm for Text Similarity
نویسندگان
چکیده
منابع مشابه
A Component Histogram Map Based Text Similarity Detection Algorithm
The conventional text similarity detection usually use word frequency vectors to represent texts. But it is high-dimensional and sparse. So in this research, a new text similarity detection algorithm using component histogram map (CHM-TSD) is proposed.This method is based on the mathematical expression of Chinese characters, with which Chinese characters can be split into components. Then each ...
متن کاملFeatures Based Text Similarity Detection
As the Internet help us cross cultural border by providing different information, plagiarism issue is bound to arise. As a result, plagiarism detection becomes more demanding in overcoming this issue. Different plagiarism detection tools have been developed based on various detection techniques. Nowadays, fingerprint matching technique plays an important role in those detection tools. However, ...
متن کاملText Reuse Detection using a Composition of Text Similarity Measures
Detecting text reuse is a fundamental requirement for a variety of tasks and applications, ranging from journalistic text reuse to plagiarism detection. Text reuse is traditionally detected by computing similarity between a source text and a possibly reused text. However, existing text similarity measures exhibit a major limitation: They compute similarity only on features which can be derived ...
متن کاملEnriched Format Text Categorization Using A Component Similarity Approach
Text categorization has been widely studied for years. However, conventional plain text categorization approaches which work good in plain text behave poor when they are simply applied to enriched format texts. An categorization approach that is applicable to enriched format text is proposed. During feature selection, we get feature structure distribution weight by using extended structure mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Software Engineering
سال: 2015
ISSN: 1819-4311
DOI: 10.3923/jse.2015.337.349