论文标题
科学研究团队的准确立体声肖像生成算法的研究
Research on accurate stereo portrait generation algorithm of scientific research team
论文作者
论文摘要
为了平稳促进科学研究项目的建立，准确地确定优秀的科学研究团队，并全面地描述科学研究团队，对于科学研究管理部门来说，具有全面理解和客观地评估科学研究团队具有重要意义。目前，关于构建准确的三维科学研究团队肖像的研究工作相对较少。鉴于科学研究管理部门的实际需求，本文提出了科学研究团队的准确立体声肖像生成算法。该算法包括三个模块：研究团队识别，研究主题提取和研究团队肖像生成。首先，基于迭代中心性排名方法确定了科学研究团队的领导者，科学研究团队的成员是通过2-faction and Snowball方法来确定的，以实现对科学研究团队的识别。然后，考虑到单词的统计信息以及研究团队中单词的共发生特征，提取了研究团队的研究主题，以提高研究主题提取的准确性。最后，研究团队肖像生成模块通过生成研究团队的个人资料，研究合作关系的建设以及研究团队主题云的建设来生成研究团队的准确三维肖像。研究团队在科学研究成就的数据集上被确定，并且生成和可视化研究团队的准确三维肖像。实验验证了所提出的算法的有效性。
In order to smoothly promote the establishment of scientific research projects, accurately identify the excellent scientific research team, and intuitively and comprehensively describe the scientific research team, it is of great significance for the scientific research management department to comprehensively understand and objectively evaluate the scientific research team. At present, the research work on the construction of accurate three-dimensional portrait of scientific research team is relatively less. In view of the practical demand of scientific research management department, this paper proposes an accurate stereo portrait generation algorithm of scientific research team. The algorithm includes three modules: research team identification, research topic extraction and research team portrait generation. Firstly, the leader of the scientific research team is identified based on the iterative middle centrality ranking method, and the members of the scientific research team are identified through the 2-faction and snowball methods, so as to realize the identification of the scientific research team. Then, considering the statistical information of words and the co-occurrence features of words in the research team, the research topics of the research team are extracted to improve the accuracy of research topic extraction. Finally, the research team portrait generation module generates the accurate three-dimensional portrait of the research team through the generation of the research team profile, the construction of the research cooperation relationship, and the construction of the research team topic cloud. The research team is identified on the data set of scientific research achievements, and the accurate three-dimensional portraits of the research team are generated and visualized. Experiments verify the effectiveness of the proposed algorithm.
