基于商品特征的商品评论信息挖掘方法

人们在购物网站上发表的评论信息,一方面作为消费者对商品的反馈,同时为潜在的消费者提供购物经验。但是,随着商品评论信息的增加,消费者往往会被淹没在评论信息中。本文采用观点挖掘方法,以商品特征为研究对象,挖掘基于商品某一特征的用户评论信息,计算消费者的情感倾向,确定情感分布。旨在通过对此问题的研究,给消费者提供更明确、更细化的商品评价。     

基于SVM的酒店客户评论情感分析

通过增加情感词典种类提高系统对网络词汇、表情符号进行分词和情感分析的准确性;以某酒店的客户评论为原始数据,提取正负向情感词的数量、否定词、程度副词以及特殊符号数量等文本特征后进行不同的特征组合,通过K重交叉验证和网格搜索算法找到SVM（支持向量机）算法的最优参数组合C和g。采用SVM对不同的特征组合进行训练测试并对每个组合的正确率进行分析,然后找出最适合用户评论情感分析的文本特征及特征组合。结果表明：在每个特征组合获取其最优的C和g参数组合的前提下,选用正负向情感词、否定词、情感分值、程度副词的特征组合测试正确率最高,达到93.4%。     

基于商品评论信息的情感倾向性分析模型

为了获取评论信息中的客户隐藏情感倾向信息,基于网络爬虫技术对商品评论信息进行抓取,通过基于语义分解利用数学向量空间模型对信息进行情感倾向性分析,构建一款针对电商平台中商品和服务评论信息的客户意见挖掘以及情感倾向性分析的系统模型。     

基于文本深层语义特征的亚马逊商品推荐

商品评论挖掘在商品推荐领域取得了越来越多的成果。传统的评论挖掘方法只集中在挖掘评论中隐含的浅层语义,其语义表达效果不理想。因此,目前商品推荐领域的一大挑战是如何挖掘商品评论的深层语义,提升语义表达能力,以及最大化地利用商品评论来提升商品的推荐效果。文中使用深度学习中的跨思维向量模型(Skip-Thought Vectors,STV)来学习评论的潜在语义特征。为了提升评论的语义表达能力,把深度学习中的长短记忆模型(Long Short-Term Memory,LSTM)应用于STV,结合双向信息流挖掘方法、用户情感偏好挖掘方法以及深度层级模型,引入了一种深层语义特征挖掘模型。该模型不仅能挖掘评论的深层语义特征,还能挖掘发表评论的用户的情感偏好。然后,将深层语义特征挖掘模型与矩阵分解模型(Singular Value Decomposition,SVD)相结合来实现商品推荐。在两个亚马逊数据集上的实验结果证明,所提模型在深度语义挖掘能力上优于传统的评论挖掘模型,相比使用传统评论挖掘模型的商品推荐系统提升了商品推荐的效果。     

基于加权融合字词向量的中文在线评论情感分析

随着社交网络平台的广泛使用,涌现出大量蕴涵丰富情感信息的在线评论文本,分析评论中表达的情感对企业、平台等具有重要意义。为了解决目前针对在线评论短文本情感分析中存在特征提取能力弱以及忽略短文本本身情感信息的问题,提出一种基于文本情感值加权融合字词向量表示的模型——SVW-BERT模型。首先,基于字、词级别向量融合表示文本向量,最大程度获取语义表征,同时考虑副词、否定词、感叹句及疑问句对文本情感的影响,通过权值计算得到文本的情感值,构建情感值加权融合字词向量的中文短文本情感分析模型。通过网络平台在线评论数据集对模型的可行性和优越性进行验证。实验结果表明,字词向量融合特征提取语义的能力更强,同时情感值加权句向量考虑了文本本身蕴涵的情感信息,达到了提升情感分类能力的效果。     

基于SVM和CRF多特征组合的微博情感分析

近年来,文本的情感分析一直都是自然语言处理领域所研究的热点问题;微博作为一种短文本,用词精炼而简洁,富含观点、倾向和态度.因此,识别微博的情感倾向具有重要的现实意义.提出一种基于SVM和CRF的情感分析方法,使用多种文本特征,包括词、词性、情感词、否定词、程度副词和特殊符号等,并选用不同的特征组合,通过多组实验使情感分析效果最优.实验显示,选用词性、情感词和否定词的特征组合时,SVM模型的正确率达到88.72％,选用情感词、否定词、程度副词和特殊符号的特征组合时,CRF模型的正确率达到90.44％.     

改进的基于语义理解的文本情感分类方法研究

文本分类在信息检索、Web文档自动分类、数字图书馆、自动文摘、文档的组织和管理等多个领域都有着广泛的应用。提出一种改进的基于语义理解的文本情感分类方法,在情感相似度计算中加入情感义原来重新修正定义,并综合情感短语倾向性的研究,侧重情感词与否定词、程度副词的组合形式分析,重点提出否定词程度副词综合处理模块。结合以连词为划分标准的语句情感倾向性分类处理,提出一种文本倾向度算法,以实现基于语义理解的文本情感分类。实验结果表明,与传统的语义理解算法相比,该方法的分类效果有了一定程度的提升。     

基于HDXG算法的虚假评论识别方法

为了提高商品虚假评论的识别效果,提出了一种基于习惯偏差与xgboost算法的虚假评论识别方法。首先,通过提出新的算法来计算情感极性,同时在位置因素的基础上加入本地化情感词,从而提高评论文本情感极性计算的精准度。然后,提出新的用户习惯偏差指标和商家异常波动区间值并将其与几维重要特征融合在一起,进而得到一个关于评论-评论者-商户三者特征的新模型。最后,再与xgboost算法进行结合完成虚假评论的检测。实验结果证明,其能更有效识别虚假的评论信息,为消费者提供更加安全有价值的参考信息。     

网页在线评论情感倾向的直觉模糊分类

网页在线评论的情感分类关系到个人决策、企业管理甚至社会安全。提出了一种基于直觉模糊推理的情感分类方法,通过样本库的学习将特征在分类时的不确定性分别用隶属度、非隶属度、犹豫度定量地描述,同时定量地考虑程度副词、转折词、否定词对表达情感的作用,然后通过对特征的直觉模糊信息的集结,按词组、句子、文本三个级别依次合其情感倾向,得到文本的情感倾向。在对公开语料库的比较实验中证明了该方法的正确性和分类性能。     

基于直觉模糊推理的网页在线评论情感倾向分类

在分析情感倾向分类的特点的基础上,提出一种基于直觉模糊推理的网页在线评论情感倾向分类方法。该方法通过样本库的学习将特征在分类时的不确定性分别用隶属度、非隶属度、犹豫度定量地描述,同时定量地考虑程度副词、转折词、否定词对表达情感的作用;然后通过对特征的直觉模糊信息的集结,按词组、句子、文本三个级别依次合成其情感倾向,得到文本的情感倾向。该方法在对公开语料库的测试中获得了很高的准确率和召回率。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

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