Mining Suppliers from Online News Documents
نویسندگان
چکیده
Supplier intelligence represents an important type of competitive intelligence essential to organizational strategic planning and analysis, because the moves that the suppliers of a firm make will affect the business network’s health, which in turn will impact the performance of the firm. Central to supplier intelligence is to identify who the suppliers of a focal firm and its competitors are. Thus, an effective supplier mining technique that automatically identifies and discovers the suppliers of a firm and its competitors from publicly available information sources (news documents in this study) is desperately needed. In this study, we exploit text and link mining techniques to construct a supplier relationship mining (SRM) system to automatically discover supplier relationships concerning a focal company from online business news documents. Our empirical evaluation result suggests that our proposed SRM system outperforms its benchmark method in precision and recall.
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