Abstract: Aiming at the low precision rate of video retrieval for virtual television news caused by extracting keywords from strategic decision text,the features and construction modes of strategic decision text were analyzed. The principle of dictionary construction, automatic Chinese words separation, method of function analysis, semantic tree construction and matching approaches between virtual television news video were discussed in detail. Experiments were made on this research. The results show that the precision rate of virtual television news video retrieval can be increased by the employment of semantic tree method.

Key words: Strategic decision text, Virtual television news, Semantic analysis, Strategic seminar gaming