Text Classification for Azerbaijani Language Using Machine Learning and\n Embedding

Text classification systems will help to solve the text clustering problem in\nthe Azerbaijani language. There are some text-classification applications for\nforeign languages, but we tried to build a newly developed system to solve this\nproblem for the Azerbaijani language. Firstly, we tried to find out potential\npractice areas. The system will be useful in a lot of areas. It will be mostly\nused in news feed categorization. News websites can automatically categorize\nnews into classes such as sports, business, education, science, etc. The system\nis also used in sentiment analysis for product reviews. For example, the\ncompany shares a photo of a new product on Facebook and the company receives a\nthousand comments for new products. The systems classify the comments into\ncategories like positive or negative. The system can also be applied in\nrecommended systems, spam filtering, etc. Various machine learning techniques\nsuch as Naive Bayes, SVM, Decision Trees have been devised to solve the text\nclassification problem in Azerbaijani language.\n