@Article{csse.2020.35.467,
AUTHOR = {Umid Suleymanov, Behnam Kiani Kalejahi, Elkhan Amrahov, Rashid Badirkhanli},
TITLE = {Text Classification for Azerbaijani Language Using Machine Learning},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {35},
YEAR = {2020},
NUMBER = {6},
PAGES = {467--475},
URL = {http://www.techscience.com/csse/v35n6/40724},
ISSN = {},
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.},
DOI = {10.32604/csse.2020.35.467}
}