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Аналіз методів обробки текстової інформації

Аналіз методів обробки текстової інформації

Abstract

У статті надано характеристику основних методів Data Mining, виділено їх переваги та недоліки. В результаті аналізу виявлено, що жоден з описаних методів не здатен вилучати знання з інформації. Продемонстровано роботу методу резолюцій Робінсона для порівняння двох простих речень. Запропоновано алгоритм порівняння логіко-лінгвістичних моделей текстової інформації за змістом The article presents a description of the main methods of Data Mining, highlighted its advantages and disadvantages. The analysis reveals that none of the above methods are capable to extract knowledge from data. The study demonstrates the operation of Robinson's resolution method for comparing two simple sentences. It is proposed an algorithm of comparing the logic-linguistic models of textual information within the meaning

Country
Ukraine
Related Organizations
Keywords

метод резолюцій, logic-linguistic models, extraction of knowledge, логіко-лінгвістичні моделі, методи Data Mining, methods of Data Mining, textual information, резолюції Робінсона, method of resolutions, вилучення знань

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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!
0
Average
Average
Average
Green