Knowledge Map Construction of Power Marketing Business Based on Machine Learning Algorithm

Under the background of the rapid growth of modern society, the demand for electric power in society has increased by a large margin. Under the new environment, the forms and categories of marketing information of electric power enterprises are diversified. With the establishment and change of electricity market environment, some conventional marketing strategies are difficult to achieve the best marketing effect. In this paper, the knowledge map of electric power marketing business based on machine learning algorithm is proposed, so as to promote the establishment of electric power marketing decision support model. Through an example, the evaluation method of this model is introduced, and finally the feasibility of using this model is obtained. Under the new mode, the marketing information of electric power enterprises presents diversified characteristics in form, category and other properties, and marketing analysis and evaluation involves the mutual conversion of qualitative and quantitative data and natural language description. The electric power marketing analysis based on the model of qualitative and quantitative data conversion and taking into account the uncertainty of the object is more in line with the human cognitive model, and it can more objectively and truly reflect the nature of the object, thus realizing the accurate evaluation of the state of electric power marketing.