Analysis of the text and digital information for process modeling
- Authors: Sofiev A.E1, Vereshchagin G.M1
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Affiliations:
- Moscow State University of Mechanical Engineering (MAMI)
- Issue: Vol 7, No 1-4 (2013)
- Pages: 75-79
- Section: Articles
- URL: https://journal-vniispk.ru/2074-0530/article/view/67800
- DOI: https://doi.org/10.17816/2074-0530-67800
- ID: 67800
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Abstract
The article presents the description of the simplest classifiers, and compares popular algorithms for text categorization using test samples.
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##article.viewOnOriginalSite##About the authors
A. E Sofiev
Moscow State University of Mechanical Engineering (MAMI)Dr.Eng., Prof.
G. M Vereshchagin
Moscow State University of Mechanical Engineering (MAMI)
Email: vergleb@yandex.ru
References
- Korde V. Text Classification and Classifiers:A Survey //International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.2, March 2012.
- B.S. Harish, S. Manjunath, D.S. Guru “Text document classification: An approach based on indexing. International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.2, No.1, January 2012.
- Добрынин В.Ю., Клюев В.В. Некрестьянов И.С. Оценка тематического подобия текстовых документов // Электронные библиотеки: перспективные методы и технологии: Вторая всероссийская научная конференция. Санкт-Петербург, 2000.
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