Open Access

ARTICLE

Text Classification for Azerbaijani Language Using Machine Learning

Umid Suleymanov¹, Behnam Kiani Kalejahi^1,2,*, Elkhan Amrahov¹, Rashid Badirkhanli¹

1 Department of Computer Sciences, School of Science and Engineering Khazar University, Baku, Azerbaijan
2 Department of Biomedical Engineering, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

* Corresponding Author: Behnam Kiani Kalejahi

Computer Systems Science and Engineering 2020, 35(6), 467-475. https://doi.org/10.32604/csse.2020.35.467

Abstract

Text classification systems will help to solve the text clustering problem in the Azerbaijani language. There are some text-classification applications for foreign languages, but we tried to build a newly developed system to solve this problem for the Azerbaijani language. Firstly, we tried to find out potential practice areas. The system will be useful in a lot of areas. It will be mostly used in news feed categorization. News websites can automatically categorize news into classes such as sports, business, education, science, etc. The system is also used in sentiment analysis for product reviews. For example, the company shares a photo of a new product on Facebook and the company receives a thousand comments for new products. The systems classify comments like positive or negative. The system can also be applied in recommended systems, spam filtering, etc. Various machine learning techniques such as Naive Bayes, SVM, Multi-layer Perceptron have been devised to solve the text classification problem in Azerbaijani language.

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Citations