Abstract: [Purpose/Significance] The Data-driven information analysis of industrial technology is the frontier of science and technology in the wave of data strategy. This paper aims to improve the existing method system of industrial technology information analysis and enhance its development through fusion with new algorithms. [Design/Methodology] This study concluded current methods of industrial technology information analysis and illustrated their research characteristics.It also suggested a transformation of traditional information analysis method and proposed to build a schema for data-driven information analysis of industrial technology. Then it developed a core method framework for industrial technology information analysis. [Findings/Conclusion] Orienting to the six aspects of industrial technology information analysis, aiming at the four tasks of identification, prediction, evaluation and early-warning, this paper constructs an information analysis method framework consisting of text mining, graph mining and image mining. [Originality/Value] This paper constructs a three-dimensional information analysis method framework of industrial technology, which is driven by text data, network data and image data. It also concludes the information analysis modes of three kinds of unstructured data, which are text mining, graph mining and image mining.

Keywords: Information analysis, Industrial technology, Text mining, Graph mining, Image mining, Data-driven