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

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

Тип публикации: статья из журнала

Год издания: 2018

Идентификатор DOI: 10.1007/978-3-319-55011-4_4

Ключевые слова: bionic algorithms, Fuzzy rule-based classifiers, neural networks, opinion mining, support vector machines

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.

Ссылки на полный текст

Издание

Журнал: Lecture Notes in Electrical Engineering

Выпуск журнала: Т. 430

Номера страниц: 73-90

ISSN журнала: 18761100

Авторы

  • Akhmedova S. (Reshetnev Siberian State University of Science and Technology)
  • Semenkin E. (Reshetnev Siberian State University of Science and Technology)
  • Stanovov V. (Reshetnev Siberian State University of Science and Technology)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.