Customer Feedback Processing and Analyzing by Machine Learning Methods

Currently machine learning is a powerful tool when solving different types of automation tasks. Other methods cannot effectively perform a similar task. The present research describes the issue about machine learning methods for the purpose of the test data processing and analyzing. In the current research the test data is the bank customer feedback, because the feedback is very important information for the bank. The customer feedback classification is a significant task for different business-targets. One of the primary functions of machine learning is objects binary classification for dividing two classes by their attributes. The developed application uses machine learning tools for a wide range of people without deep technical knowledge. The application was developed by Python 3.12 (modules: pandas, pytorch, pyqt5, transformers).