Positioning analysis of semiconductor companies for specific technology using BERT

Abstract

This study proposes a method to identify the difference of the package technology that two semiconductor companies hold by using their published patents. The authors use BERT to generate the document vectors of the patents and obtain the 2-dimensional feature map by using t-SNE dimensionality reduction. In the map, we identify clusters with different plot densities depending on the two companies. Word2vec analysis determines how often what technological terms appear in each cluster, and engineers specify the difference. This combination of NLP analysis reveals: one company has many patents on light related devices, while the other does so on magnetic sensors. Engineers has finally confirmed the validity of this machine-only analysis results.