Identify Business Opportunities Through Policy Texts: Saturation State Test Method of the Concept Space

Digital transformation offers a wealth of business opportunities for various enterprises across the world. This paper focuses on the saturation state test problem of (business) concept space, to help enterprises automatically identify business growth points through policy texts. Firstly, the concept space saturation is defined based on the variable-scale data analysis theory. In order to determine whether a concept space has reached the saturation state, the expected information quantity measurement of concept space is proposed. After establishing the saturation state test mechanism of thinking theme identification process, an algorithm of saturation state test of concept space (SST-CS) is also put forward. A case study on the real policy texts in urban green transportation industry demonstrates that the proposed SST-CS could identify business opportunities efficiently.