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.
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Li, X., Li, X., Zhang, P. (2007). Information Relationship Identification in Team Innovation. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72590-9_26
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DOI: https://doi.org/10.1007/978-3-540-72590-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72589-3
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