Extraction of Relevant Companies from Multiple Companies and Classification Based on Business

Abstract

In this paper, as part of application of text mining in companies, we propose a method that extracts new relevant companies by using common elements estimated from multiple customer companies. For example, if the multiple customer companies are “Canon”, “Epson” and “Brother Industries”, our method extracts “printer” and “inkjet” as common elements. Then, our method extracts “Ricoh” and “Roland DG” as new relevant companies by using these common elements. Our method estimates the common elements based on important words extracted from PDF files of the summary of financial statements of companies. Then, our method extracts new relevant companies by using the common elements. Furthermore, our method classifies extracted new relevant companies as company directly related the common elements or company indirectly related the common elements.