团队创新信息关系的自动识别方法及其应用

20世纪90年代以来,创新替代了效率和质量等因素成为企业最主要的核心竞争优势.团队创新中会产生海量的信息,研究提出了团队创新信息关系的自动识别方法以用于信息组织,并应用于实际的团队创新过程中信息关系自动识别模型的建立.在该模型中,对词频特征提取方法进行了"特征词分级处理"、增加"小句数量"特征和增加"上一评论信息的态度"特征三方面改进,以提高识别准确率.应用结果表明,该模型较好地实现了评论信息与方案肯定和否定关系的自动识别,可以辅助人对团队评论信息的整理和分析,提高了团队创新过程信息组织的效率.

Automatic identification method of team creation information relationship and application

In the 1990s,creation was regarded as the main resource of competitive advantage for firms replacing efficiency and quality.A lot of information is produced in team creation.In this paper,the automatic identification method of the information relationship in team creation is researched and put forward.Furthermore,the method is applied to setting up the automatic identification model of information relationship in actual team creation process.In the model,the primary word frequency method is improved from the following three aspects: classifying feature words into six levels according to their tone,introducing the new feature of clause count and the new feature of the last comment's attitude.The results of application show that the method realizes the automatic identification of the relationship between solution and comment effectively.It can help team members to organize the large amount of team comments effectively and increase the efficiency of information organizing.