MODEL OF SEMANTIC CONTEXT OF LEXEMES IN THE TEXT MINING ALGORITHMS

Authors

  • Bohdan M. Pavlyshenko

DOI:

https://doi.org/10.47839/ijc.10.3.751

Keywords:

Formal Concepts Analysis, Semantic Context, Semantic Fields, Text Mining.

Abstract

The model of semantic context of lexemes which represent the structure semantic configuration of lexems corpus of text arrays has been proposed. It is shown that partially ordered set of semantic concepts are formed in the lexem semantic context. Concepts’ intents are defined by semantic fields, concepts extents – by lexems.

References

B. Ganter, R. Will, Formal Concept Analysis: Mathematical Foundations, Springer, 1999.

S.O. Kuznetsov, S.A. Obiedkov, Comparing performance of algorithms for generating concept lattices, Journal of Experimental and Theoretical Artificial Intelligence, 14 (2002). – pp. 189-216.

P. Cimiano, A. Hotho, S. Staab, Learning concept hierarchies from text corpora, using formal concept analysis, Journal of Artificial Intelligence Research, 24 (2005). – pp. 305-339.

Abderrahim El Qadi, Driss Aboutajedine, Yassine Ennouary, Formal concept analysis for information retrieval, International Journal of Computer Science and Information Security (IJCSIS), 7 (2) (2010).

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Published

2011-12-20

How to Cite

Pavlyshenko, B. M. (2011). MODEL OF SEMANTIC CONTEXT OF LEXEMES IN THE TEXT MINING ALGORITHMS. International Journal of Computing, 10(3), 216-222. https://doi.org/10.47839/ijc.10.3.751

Issue

2011, Volume 10, Issue 3

Section

Articles

License

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