Co-operation of biology related algorithms for solving opinion mining problems by using different term weighting schemes : научное издание

Akhmedova S.; Semenkin E.; Stanovov V.

Дополнительные ссылки: РИНЦ

База данных: Каталог библиотеки СФУ

Библиографическое описание: Co-operation of biology related algorithms for solving opinion mining problems by using different term weighting schemes : научное издание / S. Akhmedova, E. Semenkin, V. Stanovov. - Текст : непосредственный // Lecture Notes in Electrical Engineering. - 2018. - Т. 430, № . - P. 73-90. - ISSN 1876-1100. - ISSN 1876-1119, DOI 10.1007/978-3-319-55011-4_4.

Аннотация: Automatically generated data mining tools namely artificial neural networks, support vector machines and fuzzy rule-based classifiers, using different term weighting schemes as data pre-processing techniques for opinion mining problems are presented. Developed collective nature-inspired self-tuning meta-heuristic for solving unconstrained and constrained real- and binary-parameter optimization problems called Co-Operation of Biology Related Algorithms was used for classifiers design. Three Opinion Mining problems from DEFT'07 competition were solved by proposed classifiers. Obtained results were compared between themselves and with results obtained by methods which were proposed by other researchers. As the result, workability and usefulness of designed classifiers were established and best data processing approach for them was found.

Год издания: 2018

Авторы: Akhmedova S. , Semenkin E. , Stanovov V.

Источник: Lecture Notes in Electrical Engineering

Выпуск: Т. 430

Номера страниц: 73-90

Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology

Количество экземпляров:

Твёрдая копия издания отсутствует в фонде библиотеки

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