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| The Study of Company Screening Method Based on Automatic Taxonomy Construction |
| Huang Wenbin, Bai Haodong |
| Department of Information Management, Peking University, Beijing 100871 |
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Abstract In the equity trading market, investors' demand for scientific and effective discovery of the company groups engaged in specific business in the new third board market, is growing. Listed companies in this market have the characteristics of small business scope, high innovation, and strong cross-cutting. It is difficult for investors to find comparable companies with similar main businesses. This study proposes a method to obtain the hierarchical division among companies, based on automatic taxonomy construction. First, a weak supervision classification method is exploited to extract business terms from the main business text disclosed in annual reports. Second, clustering is conducted over the similarity of terms to obtain one business taxonomy; companies are mapped according to the terms appearing in their reports. As our experimental results show, the proposed method can help investors discover new business concepts from the financial market, understand the underlying connection between concepts and business models, compare companies in specific fields, and find investment targets.
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Received: 28 February 2019
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