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Science and Technology (S&T) information presents a rich resource, essential for managing modern enterprises research and development (R&D). The goal of this paper is proposed to discover useful intelligence implicit in enterprises of electronic text sources based on text mining techniques. IBM Co. R&D literature infrastructure was obtained using bibliometrics and literature of the co-keyword network was visualized. It show how co-word analysis techniques can be used to study R&D in enterprises. The results of the study can help support strategic decision-making on the direction of S&T programs in enterprises.