most citedThe Clustering of Author's Texts of English Fiction in the Vector Space of Semantic Fields

2 citations · 5 across the 5 of their papers we have counts for

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5 papers

cs.SI20131 cited

Data Mining of the Concept "End of the World" in Twitter Microblogs

Bohdan Pavlyshenko

This paper describes the analysis of quantitative characteristics of frequent sets and association rules in the posts of Twitter microblogs, related to the discussion of "end of th…

cs.CL20122 cited

The Clustering of Author's Texts of English Fiction in the Vector Space of Semantic Fields

Bohdan Pavlyshenko

The clustering of text documents in the vector space of semantic fields and in the semantic space with orthogonal basis has been analysed. It is shown that using the vector space m…

cs.IR20121 cited

Genetic Optimization of Keywords Subset in the Classification Analysis of Texts Authorship

Bohdan Pavlyshenko

The genetic selection of keywords set, the text frequencies of which are considered as attributes in text classification analysis, has been analyzed. The genetic optimization was p…

cs.CL20121 cited

The Model of Semantic Concepts Lattice For Data Mining Of Microblogs

Bohdan Pavlyshenko

The model of semantic concept lattice for data mining of microblogs has been proposed in this work. It is shown that the use of this model is effective for the semantic relations a…

cs.CL2012

Classification Analysis Of Authorship Fiction Texts in The Space Of Semantic Fields

Bohdan Pavlyshenko

The use of naive Bayesian classifier (NB) and the classifier by the k nearest neighbors (kNN) in classification semantic analysis of authors' texts of English fiction has been anal…