Construction of company embeddings based on a vector representation of economic sectors and connections between companies

The sectoral classification of legal entities is usually based on the All-Russian Classifier of Types of Economic Activity (ACTEA). ACTEA allows us to systematize and group companies according to their main field of activity. However, this classifier is poorly suited for the purposes of assessing the economic interconnection of companies, since it reflects the technological similarity of fields of activity and does not take into account the relationship between industries along the chain of product conversion. The company's industry affiliation is determined not only by its declared ACTEA code, but also by its actual economic and legal relationships with other companies. Using modern machine learning methods, it is possible to build vector representations (embeddings) of companies, taking into account, among other things, the relationships between companies.