基于朴素贝叶斯的法律咨询文本分类方法

互联网法律咨询平台为公众提供了便捷的咨询服务,公众在平台进行法律咨询后,平台精准地将咨询问题推送给相关律师进行解答.然而平台在推送前,需要先对咨询问题文本进行自动分类.针对法律咨询文本分类这一问题,从互联网法律咨询平台采集数据建立语料库,通过TF-IDF算法对经过预处理的文本进行特征提取,通过朴素贝叶斯分类算法进行分类.实验结果表明,在一定程度上能实现法律咨询文本的自动分类.     

基于背景学习的迭代式文本分类框架

随着网络文本数据呈指数级增长,信息的人工分类和管理逐渐被计算机自动分类所替代,相关领域经过多年的研究和发展已经开发出一些相对成熟的算法。研究分析发现：在文本预处理阶段歧义语段的划分始终是影响分类准确率的一个重要因素,至今仍未完全解决。结合互信息度理论,提出一种基于背景学习的迭代式框架,在此基础上通过对分词数据预处理来改进传统的基于朴素贝叶斯模型的文本分类算法,并使用新浪网不同类别数据对提出的迭代式框架进行实验评估,实验结果表明提出的基于背景学习的迭代式文本分类框架可行有效。     

基于词典和文本分类算法的中医药文本情感分析研究

使用Python爬虫从新浪微博获取数据,通过数据清洗、采用Jieba分词工具进行分词、去停用词等对数据进行预处理,构建了基于词典和文本分类算法的文本情感分析模型,对微博评论展开研究,模型准确率为0.878.     

基于KNN的Web文本分类方法的研究

为了更有效地组织Internet 上丰富的信息资源, 通过分析Web 文本的特点,提出了基于KNN 的Web文本分类方法,并结合具体实验在对数据进行预处理的基础上实现了KNN分类算法.实验表明,该方法训练数据规模大大减少,训练效率较高,同时具有较好的精确率和召回率.     

基于信息增益特征选取和覆盖的中文文本分类

本文利用信息增益特征选取和前向神经网络的覆盖算法,对文本进行分词的预处理后,实现文本的自动分类。该方法将信息增益特征选取和覆盖算法充分结合,不但提高了分类速度,还保证了分类的准确度。应用该方法对标准数据集中的文本进行实验,并在不同的维数上与SVM算法,贝叶斯方法的实验结果进行了比较。     

多标签文本分类研究进展

文本分类作为自然语言处理中一个基本任务,在20世纪50年代就已经对其算法进行了研究,现在单标签文本分类算法已经趋向成熟,但是对于多标签文本分类的研究还有很大的提升空间。介绍了多标签文本分类的基本概念以及基本流程,包括数据集获取、文本预处理、模型训练和预测结果。介绍了多标签文本分类的方法。这些方法主要分为两大类：传统机器学习方法和基于深度学习的方法。传统机器学习方法主要包括问题转换方法和算法自适应方法。基于深度学习的方法是利用各种神经网络模型来处理多标签文本分类问题,根据模型结构,将其分为基于CNN结构、基于RNN结构和基于Transfomer结构的多标签文本分类方法。对多标签文本分类常用的数据集进行了梳理总结。对未来的发展趋势进行了分析与展望。     

基于词频统计规律的文本数据预处理方法

在大数据时代,文本挖掘 面临特征的“高维-稀疏”问题,海量文本词汇与稀少关键特征间的矛盾导致了高时空复杂度和低效率等问题,严重制约了文本挖掘效率,因此在文本挖掘前进行有效的数据预处理至关重要。传统文本挖掘算法在数据预处理阶段只进行分词和去停用词操作。为提高性能,提出基于词频统计规律的文本数据预处理方法。首先,基于齐普夫定律和最大值法推导同频词数表达式;然后,基于同频词数表达式探究各频次词语在文中的分布规律,结果表明词频为1和2的词语与文档的关联度较低,但比重高达 2/3;最后,基于词频统计规律进行数据预处理,在预处理阶段去除低频词,减小特征维度。在公共数据集Reuters-21578和20-Newsgroups上进行的实验的结果表明,各频次词语的分布规律是正确的,基于词频统计规律的文本数据预处理方法在分类准确率、精确率、召回率以及F1度量值方面均有提升,运行时间明显降低,文本挖掘效率得到显著提高。     

基于词语上下文的文本分类研究

文本自动分类系统无法直接理解其语义并进行分类,需要对文本进行预处理,提取能表达文本主题内容的关键词,将这些关键词用结构化的形式保存起来,形成文本的表示.针对文本数据中存在大量词语共现的特点,提出了一种基于上下文的文本分类方法.该方法利用词语的上下文关系定义了词语相似度和词语权值,更科学地表达了词语在该类别中的语义表示,从而更能提高文本分类的质量.实验结果表明,该方法的分类效果比传统的简单向量距离分类法有明显的改善.     

基于归—化编辑距离的自由文本击键特征分类识别方法

针对基于相对距离的自由文本击键特征分类识别方法(R方法),提出了一种基于归一化编辑距离的自由文本击键特征分类识别方法.通过数据收集、预处理、距离计算、归一化处理、分类判定等过程,实现了对中文自由文本击键特征样本进行准确分类识别的方法.实验证明,本方法比R方法的分类正确率更高,识别准确度更好.     

基于Bert模型的垃圾短信识别研究

针对现有垃圾短信识别方法,在复杂场景中特征表示效率低的问题,提出文本预处理结合Bert模型的垃圾短信识别方法。首先对数据集进行预处理,消除冗余信息对分类器的影响,然后将预处理后的数据按8:1:1比例划为训练集,交叉验证集和测试集三类。将Bert模型引入垃圾短信识别分类场景,利用动态掩码提高了文本特征表征能力。实验结果表明,本文提出的垃圾短信识别方法具有较好的识别效果。     

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.     

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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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