Enterprise Complementarity Based on Patent Information

Abstract

The combination of complementary patents can better promote the advancement of technology, and complementary companies can help companies bring better benefits. This topic has carried out patent complementarity research and proposed a patent complementarity algorithm based on patent technology tree. By calculating the complementarity calculation method of a given patent, the company with the strongest complementarity with known patents is obtained. First, the patent text is represented sentence vectors by LSTM model. Second, the generated sentence vectors are clustered, and the patent information is marked with different categories. Then, the patent word vector is obtained by the CNN text classification model to obtain the confidence that the patent belongs to the corresponding category. Finally, the confidence of the patent and the complementarity coefficient based on the patent classification number are combined to obtain the interpatent complementarity. Calculate the average of the complementarity between all patents and a given patent under the same company, and the company with the greatest complementarity is the complementary company sought. The method combines the patent text and the patent classification number, obtains the similarity of the text semantics through the deep learning model, and quantifies the complementarity of the patents, and the discriminating basis is more accurate and reliable.