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| 1 | TOPICS AND TRENDS OF THE ON-LINE PUBLIC CONCERNS BASED ON TIANYA FORUM显示文摘Many social events spread fast through the Intemet and arouse wide community discussions.Those on-line public opinions emerge into diverse topics along the time.Moreover,the strength of the topics is fluctuating.How to catch both primary topics and trend of topics over the shifting on-line discussions are not only of theoretical importance for scientific research,but also of practical importance for societal management especially in current China.To try the cutting-edge text analytic technologies to deal with unstructured on-line public opinions and provide support for social problem-solving in the big data era is worth an endeavour.This paper applies dynamic topic model(DTM)to explore the changing topics of new posts collected from Tianya Zatan Board of Tianya Club,the most influential Chinese BBS in China's Mainland.By analysis of the hot and cold terms trends,we catch the topics shift of main on-line concerns with illustrations of topics of school bus and environment in December of 2011.An algorithm is proposed to compute the strength fluctuation of each topic.With visualized analysis of the respective main topics in several months of 2012,some patterns of the topics fluctuation on the board are summarized. | Lina Cao Xijin Tang | 2014 | Journal of Systems Science and Systems Engineering2014，23，2： | 11 |
| 2 | EXPLORING ON-LINE SOCIETAL RISK PERCEPTION FOR HARMONIOUS SOCIETY MEASUREMENT显示文摘The nearly 30-year economic growth miracle brings the consequent tremendous poor-rich gap leading strong drives for social transformation in current China.Chinese top leaders have realized to increase the peoples' income,improve quality of life and construct a 'harmonious society' as key missions especially in recent 10 years.How to measure a harmonious society is one important topic as different measures may lead to different development policies.This paper outlines over 10 indices relevant to measure a harmonious society.Some are global indicators,while some are contributed by domestic researchers and arouse debates.Most of those indicators require conducting surveys on social attitudes under micro levels,which is always time consuming with problem of data quality.As Internet technology advances provide ways to record and disseminate fresh community ideas and thoughts conveniently,detecting topics or emotions from on-line public opinions is becoming a trend or one supplement way to overcome those data acquisition problems.This paper discusses one approach to on-line societal risk perception using hot search words and BBS posts.Such a trial aims to provide another way to societal risk perception different from those in traditional socio psychology studies. Challenges are also indicated. | Xijin TANG | 2013 | Journal of Systems Science and Systems Engineering2013，22，4： | 9 |
| 3 | Value of MR perfusion imaging after intervention treatment of hepatic cancer显示文摘目的将在评估肝的癌症的干预治疗的药品效果调查先生灌注成像的价值。36 个病人在干预治疗以后经历了先生灌注成像的方法。量子化结果在癌残余和良性的组织之间被不同。并且诊断精确性被判定。在那里的结果是在在在外科和良性的改进区域以后的残余肿瘤之间的吝啬的 MSI 的有效差量。残余肿瘤的时间目的曲线被观察很快上升到达山峰,而改进织物的慢慢地上升了到达山峰。察觉上的 PWI 的敏感和特性剩余或再发性瘤分别地是 0.89 和 0.73。结论 PWI 是能被用来在外科以后区分肝织物状况的一种很敏感的成像技术。早贡献的 PWI 上演诊断和动态监视后面的 HCC 外科。 | You Guo ZhaoChen Xiaolin Zheng Chengfu Tang Xijin He Yikai Xu | 2009 | The Chinese-German Journal of Clinical Oncology2009，8，1： | 6 |
| 4 | A CAUSALITY ANALYSIS OF SOCIETAL RISK PERCEPTION AND STOCK MARKET VOLATILITY IN CHINA显示文摘 | Nuo Xu Xijin Tang | 2018 | Journal of Systems Science and Systems Engineering2018，27，5： | 3 |
| 5 | The cost of obsessive- compulsive disorder (OCD) in China: a multi- center cross- sectional survey based on hospitals显示文摘Background Obsessive-compulsive disorder(OCD)is considered a very debilitating disorder with severe loss of quality of life and income.Aims This study estimates the quality of life and economic consequences of OCD in China.Methods The research team interviewed 639 patients with OCD in 13 hospitals in 12 cities in China.The direct method was used to get the direct cost of OCD.Indirect costs associated with OCD were estimated using the human capital approach.Linear regression analysis was conducted for quality of life and generalised linear model analysis was conducted for total cost.Sensitivity analysis was used to analyse the uncertainty of total cost.Results The mean quality of life score for OCD was 52.78(20.46).The annual total cost of OCD per capita was 24503.78(95%CI:22621.53 to 26386.03)renminbi(RMB)(US$3465.88(95%CI:US$3199.65 to US$3732.11)).The annual cost of OCD in China was estimated to be 37.74 billion(95%CI:34.95 billion to 40.53 billion)RMB(equal to US$5.34 billion(95%CI:US$4.94 billion to US$5.73 billion)).Sensitivity analysis showed that the total annual cost of OCD in China was between 23.15 billion RMB(US$3.27 billion)and 370.00 billion RMB(US$52.33 billion).Worse social function status,more psychiatric symptoms and higher Yale Brown Obsessive-Compulsive Scale(Y-BOCS)score were associated with worse quality of life.The numbers of clinic visits and hospitalisations,socioeconomic status,education,Y-BOCS scores and age were found to be significantly associated with total cost.Conclusions OCD is associated with low quality of life and high costs in China.The findings call for concerted efforts to improve services for patients with OCD.Improvements may include early detection and diagnosis,the provision of evidence-based treatments and relapse prevention strategies. | Weili Yang Zhen Tang Xijin Wang Xiancang Ma Yuqi Cheng Bin Wang Ping Sun Wenxin Tang Jia Luo Changhong Wang Ping Li Guiyun Xu Jun Yan Vlasios Brakoulias Zhen Wang | 2021 | General Psychiatry2021，34，6： | 3 |
| 6 | AN EMPIRICAL FEASIBILITY STUDY OF SOCIETAL RISK CLASSIFICATION TOWARD BBS POSTS显示文摘 | Jindong Chen Xiaoji Zhou Xijin Tang | 2018 | Journal of Systems Science and Systems Engineering2018，27，6： | 3 |
| 7 | The Distributed Representation for Societal Risk Classification toward BBS Posts显示文摘The risk classification of BBS posts is important to the evaluation of societal risk level within a period. Using the posts collected from Tianya forum as the data source, the authors adopted the societal risk indicators from socio psychology, and conduct document-level multiple societal risk classification of BBS posts. To effectively capture the semantics and word order of documents, a shallow neural network as Paragraph Vector is applied to realize the distributed vector representations of the posts in the vector space. Based on the document vectors, the authors apply one classification method KNN to identify the societal risk category of the posts. The experimental results reveal that paragraph vector in document-level societal risk classification achieves much faster training speed and at least 10% improvements of F-measures than Bag-of-Words. Furthermore, the performance of paragraph vector is also superior to edit distance and Lucene-based search method. The present work is the first attempt of combining document embedding method with socio psychology research results to public opinions area. | CHEN Jindong TANG Xijin | 2017 | Journal of Systems Science & Complexity2017，30，3： | 2 |
| 8 | EXPLORATION OF TCM MASTERS KNOWLEDGE MINING显示文摘繁体中文药(TCM ) 关于人的健康有富有的知识;由它的特殊方法的疾病沿着很长的历史演变。当现代医学正在获得许多进步,争论;向 TCM 的争论从来不结束。为了避免失去生活 TCM 的宝贵知识,掌握,努力与 TCM 主人的那些知识的系统的收集订婚了例如他们的生长经验,向疾病的有效实际盒子;典型治疗学的原则;方法。知识采矿方法被期望了探索一些有用或隐藏的模式揭开 TCM 系统的一些谜。在纸,一些计算机化的方法向收集的那些被使用关于在到暴露那些 TCM 的必要想法的一个不同方法由试图帮助人的通讯可视化掌握的表演的中国大陆的一些生活 TCM 主人的材料向疾病理解 TCM 整体的看法;身体,;便于缄默的知识转移;做感觉 TCM 非常重要。工作是 TCM 主人的知识的一个种质的元合成。 | Xijin TANG Nan ZHANG Zheng WANG | 2008 | Journal of Systems Science & Complexity2008，21，1： | 2 |
| 9 | EXPERT DISCOVERY AND KNOWLEDGE MINING IN COMPLEX MULTI-AGENT SYSTEMS显示文摘复杂解决问题要求多样的专家知识和多重技术。为了解决如此的问题,人的专家包括两个的复杂多代理人系统和自治代理人,在许多应用程序域被要求。最复杂的多代理人系统在开的领域工作并且包括各种各样的异构的代理人。由于代理人的异质和工作环境的动态特征,代理人的专家知识和能力可能很好没在这些被估计并且介绍系统。因此,怎么从人、自治的专家发现有用知识,为专家的能力做更多的精确评价并且发现解决到来的问题(“专家采矿”) 的合适的专家是在区域 ofmulti 代理人系统的重要研究问题。在这篇论文,我们在混合多代理人系统为知识和专家采矿介绍一条基于本体论的途径。在这研究,本体论被雇用描述系统的知识。当系统处理到来的问题,知识和专家采矿进程被执行。在这条途径,我们在 multi-agentsystems 嵌入更自我学习、自动调节的能力,以便在发现多代理人系统的异构的专家的知识帮助。 | Minjie ZHANG Xijin TANG Quan BAI Jifa GU | 2007 | Journal of Systems Science and Systems Engineering2007，16，2： | 2 |
| 10 | TEXT CLASSIFICATION TOWARD A SCIENTIFIC FORUM显示文摘文章采矿,也作为发现从文章的知识,作为当前的信息爆炸的一个可能的解决方案出现了,指提取的过程知道重要;从未组织的文本的有用模式。在象聚类的文本那样的文本采矿的一般任务之中,摘要,等等,文本分类是聪明的信息处理的一项子任务,它采用从训练预言未标记的文本的类的文本构造一个分类器的无指导的学习。因为它的简洁;在性能评估的客观性,文本分类通常被用作一个标准工具决定一个文本处理方法的优点或软弱例如文本表示,文本特征选择,等等。在这篇论文,文章分类被执行分类从 XSSC 网站(http://gffzz6e899765426143ebhw6pup6wnf9cc6cv6.ffgz.tsg.suse.edu.cn ) 收集的网文件。支持向量机器(SVM ) 的表演;背繁殖神经网络(BPNN ) 在这项任务被比较。明确地,二进制文章分类;多班文章分类在 XSSC 文件上被进行。而且,两个方法的分类结果被联合改进分类的精确性。一个实验被进行证明 BPNN 能在二进制文本分类与 SVM 竞争;要不是多班文章分类, SVM 更好表现。而且,分类在二进制代码被改进;有联合方法的多班。 | Wen ZHANG Xijin TANG Taketoshi YOSHIDA | 2007 | Journal of Systems Science and Systems Engineering2007，16，3： | 2 |
| 11 | Text classification based on multi-word with support vector machine 显示文摘 | Zhang Wen Yoshida T Tang Xijin | 2008 | Knowledge-Based Systems2008，21，8： | 1 |
| 12 | Generating Storyline with Societal Risk from Tianya Club显示文摘Major societal problems affect the social stability. It is necessary to understand the public opinion toward those issues to avoid social conflicts. Nowadays the social media become the major platform to track what the public is concerned about and which may be of the societal risk. However,it is very tough to capture the public attention in short time due to huge flow of user-generated contents.In this paper, we approach this problem by expanding the method of generating storyline with the result displayed by a multi-view graph. One real-world example is illustrated and evaluation is given to show the effectiveness of the proposed method. | Yugai JIA Xijin TANG | 2017 | Journal of Systems Science and Information2017，8，6： | 1 |
| 13 | Text clustering using frequent itemsets 显示文摘 | Zhang Wen Yoshida T Tang Xijin | | Knowledge Based Systems0，23，5： | 1 |
| 14 | Using ontology to improve precision of terminology extraction from documents显示文摘 | Zhang Wen Yoshida T Tang Xijin | 2009 | Expert Systems with Applications2009，36，5： | 1 |
| 15 | ENSEMBLE OF MULTIPLE kNN CLASSIFIERS FOR SOCIETAL RISK CLASSIFICATION显示文摘社会风险分类是为社会风险感觉的一个基本、复杂的问题。进行社会风险分类, Tianya 论坛帖子作为数据来源,和四种代表被选择:字符串表示,术语频率表示, TF-IDF 表示和 BBS 帖子的分布式的表示被使用。用作为距离度量标准编辑距离或余弦类似,四个 k 近邻居(kNN ) 分类器基于不同代表被开发并且比较。由于词顺序的优先级和神经网络模型段向量的语义抽取, kNN 为社会风险分类由段向量(kNN-PV ) 表演有效性基于分布式的表示产生了。而且,通过不同重量, kNN-PV 作为一个整体模型与另外的三个 kNN 分类器被相结合改进社会风险分类的表演。通过蛮力格子搜索方法,最佳的重量被分到不同 kNN 分类器。与 kNN-PV 相比,试验性的结果表明整体方法的 Macro-F 显著地为社会风险分类被改进。 | Jindong Chen Xijin Tang | 2017 | Journal of Systems Science and Systems Engineering2017，26，4： | 1 |
| 16 | Text classification based on multi-word with support vector machine显示文摘 | Wen Zhang Taketoshi Yoshida Xijin Tang | 2008 | Knowledge-BasedSystems2008，21，： | 1 |
| 17 | Text Classification Basedon Multi-word with Support Vector Machine显示文摘 | Zhang Wen Yoshida T Tang Xijin | 2008 | Knowledge-based Systems2008，21，8： | 1 |
| 18 | Operators and comparisons of hesitant fuzzy linguistic term sets显示文摘 | Wei Cuiping Zhao Na Tang Xijin | 2014 | IEEE Trans on Fuzzy Systems2014，22，3： | 1 |
| 19 | Text Classification Based on Multi-word with Support Vector Machine显示文摘 | Zhang Wen Yoshida T Tang Xijin | 2008 | Knowledge-based System2008，21，8： | 1 |
| 20 | Meta-synthesis approach to complex system modeling 显示文摘 | Jifa Gu Xijin Tang | 2005 | European JournalofOperational Research2005，166，3： | 1 |
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