Research and Application of Tax Classification Prediction Analysis Method Based on Big Data Technology

Abstract

AbstractIn China, tax is the main source of government revenue, which promotes the harmonious development of the national economy and plays an important role as an economic lever regulator in the process of economic operation. It is mainly reflected in the market economy system. The government can optimize the allocation of resources, adjust the economic structure and adjust the income distribution by collecting taxes. It can be seen that tax revenue is a necessary condition to ensure the healthy and good operation of the market economy and promote the continuous progress of society. Reasonable tax planning is based on scientific tax forecasting methods. Therefore, under the new situation, we must abandon the traditional base method to formulate tax planning, consider various tax modes on the basis of big data, and study a logical, efficient and accurate advanced tax forecasting method as soon as possible. This paper mainly studies the prediction and analysis method of tax categories based on big data technology. This paper puts forward the principle of tax forecast analysis for the prediction of tax revenue, expounds the role of tax forecast methods, and correctly grasps the dynamic changes by reasonably estimating the future tax revenue, which is of great value for the government to issue tax policies and formulate tax plans. In this paper, through data mining technology to understand the main types of tax, and the representative tax system method of this paper is analyzed, the results of the typical business tax, enterprise income tax and individual income tax in recent three years are compared with the actual results of the year, and the feasibility of the representative tax system method is analyzed. The experimental results show that the error of representative tax system is not high in enterprise income tax, and it needs to be improved in personal income tax and business tax. In terms of business tax, the error between actual business tax and predicted business tax in recent three years is about 5.22%; in terms of enterprise income tax, the error between actual business tax and predicted business income tax in recent three years is about 3.64%; in terms of individual income tax, the error between actual personal income tax and predicted personal income tax in recent three years is about 5.93%.KeywordsTax revenueTax categoryForecast analysisBig data