Application of machine learning methods to solve the NLP text classification problem based on analysis of semantics of natural language

The article deals with the main methods of machine learning for solving the business problem of NLP text classification based on the analysis of natural language semantics. Operational control over the flow of incoming data is vital in a competitive environment. Large amounts of data cause you to search for answers to complex analytical tasks. The result of solving problems affects managers, as well as determines the vectors of business development in the future. A recent hot topic is the possibility of using machine learning methods to solve business problems. One of the most important tasks is to understand and process the text. The author developed machine learning models for classifying the names of profitable purchases in order to prepare analytical reports for top management. In conclusion, the calculation of economic efficiency of the project development of a machine learning model to analyze revenues, expressed in monetary saving as well.