The Software for Identifying Technological Complementarity Between Enterprises Based on Patent Databases

In this paper, it is proposed to identify the technological complementarity of enterprises. The process of identifying potential partners is based on the comparison of cluster information, clustered with hLDA algorithm. To analyze an array of patents, it must first be loaded, parsed, and filtered by a specific class of patents. Then technical terms are extracted from data and clustered using the hLDA algorithm, and after clustering, an enterprises complementarity matrix is constructed. We developed software for clustering USPTO patent documents based on the hLDA method and identifying the technological complementarity of enterprises based on the comparison of cluster information.