在从SMA描述文本中抽取管理任务信息的基础上,为了实现对管理领域中事实主题的准确识别,本研究系统考察了从文本表示、特征降维到聚类分析的技术现状和方法特点,并通过提出类特征概化这一新的概念和实现方法,完成了对所研究问题的解决方案设计。实证分析结果与问卷结果和访谈结论所进行的综合分析和判断结果相比较,初步验证了本研究方法对于事实主题识别的有效性和可行性。
On the basis of extracting information of managerial tasks from descriptive text of SMA, and for the sake of identifying the factual theme correctly in the domain of management, this paper studies in detail the state of the art and features of method about text expression, dimension deduction and clustering, and putt forward the conception and method of generalizability of congener characters, then realizes the design of solution. By comparing the empirical result with the result coming from questionnaire and visitation, the validity and feasibility of this paper are validated basically to identifying of factual theme.