Information relationship identification method in group decision

Comparing to conventional group meetings, computer-mediated group activities provide much more redundant information, thus resulting in information overload. In this paper, the method for identifying the semantic relationship between the solution and the comment is proposed and researched. On the basis of Support Vector Machines and Chinese text mining, the semantic relationship identification model is built and applied in the group decision. The results show that the method realizes the identification of the strongly supportive, supportive, neutral, strongly against, and against relationship between the solution and the comment effectively. It can help group members to organize the large amount of group comments effectively and increase the efficiency of information organization.