[目的]总结分析当前网络评论情感可视化的主要技术方法及其工具,探讨其发展的主要趋势.[方法]在对近年相关文献进行调研的基础上,根据网络评论情感分析可视化技术方法的特点,进行归纳总结;从交互性和定制特征,对可视化工具进行分类和应用特点分析.[结果]将网络评论情感可视化技术方法归纳为:基于文本内容的情感可视化、基于时空的情感可视化和基于文本主题的情感可视化.将可视化工具总结为静态、交互式以及支持编程三种类型.[结论]本文对网络评论情感可视化技术方法及其工具进行归纳、总结和分类,阐述了网络评论情感可视化发展的三个主要趋势,以期为情感可视化和相关研究及可视化工具的选择提供参考.

Understanding the formation of interdisciplinary research (IDF) is critically important for the promotion of interdisciplinary development. In this paper, we adopt extracted keywords to investigate the features of interdisciplinarity development, as well as the distinct roles that different participating domains play in various periods, and detect potential barriers among domains. We take joint attention (JA) as the study domain, since it has undergone a development process from a topic of one domain to interdisciplinary research (IDR). Our empirical study has yielded interesting findings. First, we detect the phenomenon of knowledge diffusion as it evolved through three domains of JA. It enabled us to observe the shift of roles the domains played during the process of IDF, as well as the existence of potential barriers among these domains. Second, according to the diffusion and development process of JA among domains, three phases that an IDR field in general goes through were identified: a latent phase, an embryo phase, and a mature phase. Third, domains may play different roles in distinct periods, with the formation of IDR. Four roles are identified: knowledge origin, knowledge receiver, knowledge respondent, and interdisciplinary participant. This paper showcases how to detect the evolution of IDR by analyzing keyword evolution. By giving the profiles of IDR fields and descriptions of keyword evolution, it would be valuable for policy makers and regulators to promote IDR development.

[Purpose/significance] Open government data is conducive to the rational development and utilization of data resources. It can encourage social innovation and promote economic development. Besides, in order to ensure effective utilization and social increment of open government data, high-quality metadata schemes is necessary. [Method/process] Firstly, this paper analyzed the related research of open government data at home and abroad. Then, it investigated the open metadata schemes of some Chinese main local governments’ data platforms, and made a comparison with the metadata standard of American open government data. [Result/conclusion] This paper reveals that there are some disadvantages about Chinese local government open data affect the use effect of open data, which including that different governments use different data metadata schemes, the description of data set is too simple for further utilization and usually presented in HTML Web page format with lower machine-readable. Therefore, our government should come up with a standardized metadata schemes by drawing on the international mature and effective metadata standard, to ensure the social needs of high quality and high value data.

网站是上市公司借助网络实现与投资者沟通的重要手段,同时也是投资者获取海量信息和直接与上市公司互动的有效途径.上市公司应注重公司网站的建设、应用与探索,提高企业的信息化水平,让公司将来在转型与发展的道路中赢在起跑线上.利用链接分析法对上市公司潜力企业网站的影响力进行较专门系统的研究,通过描述性分析、相关性分析、主成分分析等数学统计方法对企业网站的网络指标进行分析和评估,并通过kmeans算法将企业网站聚成3类.根据网站的影响力现状,对网站建设策略提出相应的建议.研究结果表明,我国上市公司潜力企业,对网站的网络影响力重视不足,整体网络影响力较弱,不利于互联网时代的企业发展.

【目的】通过网络用户评论, 为评论网站构建有效的评分预测机制。【方法】提出基于网络用户评论的评分预测模型, 该模型包括 4 个模块: 网络用户评论获取模块、预测变量获取模块、预测分析模块以及预测结果评价模块。抓取 30 部不同类型的电影评论数据, 27 部用于构建模型, 3 部用于检验模型。【结果】使用逐步回归方法筛选出变量: 参与评分人数、参与评论人数、想要观看人数和电影正向评论情感均值, 构建评分预测模型。使用 3 部电影验证, 预测评分与 IMDb 评分相差最大值为 0.0644, 最小值为 0.0227。【局限】在数据样本量、情感特征提取精度、模型普适性验证等方面有待进一步提升。【结论】该模型能够依据用户评论对评分进行有效预测, 在网络水军探测方面也能发挥一定的作用。

在经济和科学技术不断增强的今天,我国的企业要站在更高的角度去审视商业保密保护工作的重要性,杜绝商业秘密泄密的事件发生.本文通过对我国国有企业和民营企业保护商业秘密的理念、模式、制度建设等方面进行对比分析,以分析他们在保护商业秘密方面做法的现状,存在问题和不足,并就企业如何做好商业秘密保护工作提出了一些建议.