A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Winnowing: local algorithms for document fingerprinting
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Automatic authorship attribution
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Linguistic profiling for author recognition and verification
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Foundations and Trends in Information Retrieval
Plagiarism Detection Based on Singular Value Decomposition
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Computational methods in authorship attribution
Journal of the American Society for Information Science and Technology
A survey of modern authorship attribution methods
Journal of the American Society for Information Science and Technology
Multilayer SOM with tree-structured data for efficient document retrieval and plagiarism detection
IEEE Transactions on Neural Networks
Language Resources and Evaluation
Authorship attribution in the wild
Language Resources and Evaluation
Outlier-based approaches for intrinsic and external plagiarism detection
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
A Text Similarity Meta-Search Engine Based on Document Fingerprints and Search Results Records
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Word length n-grams for text re-use detection
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Intrinsic plagiarism detection
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
An application for plagiarized source code detection based on a parse tree kernel
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Plagiarism detection is of special interest to educational institutions, and with the proliferation of digital documents on the Web the use of computational systems for such a task has become important. While traditional methods for automatic detection of plagiarism compute the similarity measures on a document-to-document basis, this is not always possible since the potential source documents are not always available. We do text mining, exploring the use of words as a linguistic feature for analyzing a document by modeling the writing style present in it. The main goal is to discover deviations in the style, looking for segments of the document that could have been written by another person. This can be considered as a classification problem using self-based information where paragraphs with significant deviations in style are treated as outliers. This so-called intrinsic plagiarism detection approach does not need comparison against possible sources at all, and our model relies only on the use of words, so it is not language specific. We demonstrate that this feature shows promise in this area, achieving reasonable results compared to benchmark models.