Information Relationship Identification in Team Innovation

Authors:
Xinmiao Li;Xinhui Li;Pengzhu Zhang
Affiliations:
School of Information Management and Engineering, Shanghai University of Finance and Economics, 200433, Shanghai, China;DongBeiWang, Haidian, 100094, Beijing, China;Antai Management School, Shanghai Jiaotong University, 200052, Shanghai, China
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Year:
2007

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Abstract

In the 1990s, innovation has become the main resource of competitive advantage for firms. Computer-mediated team innovative activities provide much more information, thus resulting in information overload. In this paper, the method for identifying the affirmative and negative relationship between the solution and its comment is proposed. The identification model is set up and applied in team innovation. In the model, we improve the traditional feature extraction method from three aspects: classifying feature words into six levels according to their affirmative and negative tone, introducing the new feature of the prior comment's attitude and the new feature of the number of sub-sentences. The results show that the method realizes the identification of the affirmative and negative relationship effectively. It can benefit organizing the large amount of team comments effectively and increase the efficiency of information organization.