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Document similarity analysis in Slovak language

Authors: Vladimir Hanusniak; Vladimir Smatanik; Milan Straka; Michal Zabovsky;

Document similarity analysis in Slovak language

Abstract

Examining data for similar items is one of the fundamental data-mining problems. Application of methods for similarity search could be useful for plagiarism or near-duplicate web page detection. The computerized methods developed during last years are mainly focused on English language. However, Slovak language has several specific attributes and using these methods may not be precise enough. Our objective of this research paper is to develop a Proof-of-Concept for document similarity estimation process devoted to Slovak Language. The complexity of Slovak language gives us an opportunity to analyze and adjust the methods parameters and thus achieve higher accuracy. Text mining process suggested in this article utilizes stop words list and shingles to accurately measure documents similarity. Results are further validated using date constraint.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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