微博话题中的情感分析研究

微博话题的情感分析是分析出微博话题中隐含的情感并实现对微博消息的分类,该研究可以帮助网络监管人员和政府机关人员针对网络舆情及时做出积极有效的决策。微博话题情感分析的核心任务是分析微博话题中每条微博消息的情感倾向。本文提出的中文微博话题的情感分析是在基础情感词典之上,通过提取并构建程度副词、网络用词和否定词等相关词典,实现对基础情感词典的扩充,最后通过权值计算得到微博消息的情感极值,达到对微博消息进行情感分类的目的。实验结果证明所提出的方法的有效性。     

基于语义分析的中文微博情感分类方法

通过分析微博的结构特点,提出了一种基于语义分析的中文微博情感分类方法。首先构建了表情符号情感词典和网络用语情感词典;然后结合词典资源对微博文本进行依存句法分析并且构建情感表达式树;最后根据制定的规则计算微博文本的情感强度,依据强度值判断微博的情感倾向类别。实验结果验证了该方法的有效性,也表明所构建的表情符号情感词典和网络用语情感词典能够有效增强情感分类器的性能。     

结合word2vec与扩充情感词典的微博多元情感分类研究

对微博文本的多元情感分类问题进行了研究.针对现有的多元情感词典不能很好地覆盖微博文本中情感词的不足,结合特定的情感符号和基于卡方统计量的度量方法,实现对现有的多元情感词典的扩充;针对情感词典无法有效考察文本的上下文语境信息的问题,引入word2vec模型实现情感词和其所在微博语句的向量化表达.在此基础上,利用KNN分类器实现微博句子级的多元情感分类.实验结果表明,扩充情感词典及引入word2vec模型均有助于提升微博文本多元情感分类的效果.     

面向新浪微博的情感社区检测算法

面向社交网络的情感社区检测,可应用于公共健康、舆情监测等领域.以新浪微博为平台建立一种情感社区检测框架,首先融合微博情感表情特征和情感词典,提出基于朴素贝叶斯算法的半词典半表情(naive Bayes based semi-lexicon and semi-emoji,SL-SE-NB)分类模型以实现对文本的情感极性预测;提出一种基于潜在狄利克雷分配(latent Dirichlet allocation,LDA)话题模型的用户-超话题-关键词(user-topic-keywords,UTK) 模型抽取用户话题;基于标签传播算法(label propagation algorithm,LPA)并加入话题概念,提出基于种子集与最小边介数的标签传播情感社区发现算法(label propagation algorithm based seeds and min-edge betweenness,SMB-LPA).最后通过实验验证了所提出算法的有效性和高效性.     

基于依存分析与特征组合的微博情感分析

针对微博短文本存在口语化、简洁化等社交网络特征,充分利用句法依存关系以及条件随机场(conditional random fields,CRFs),抽取候选评价对象,并在基于机器学习的微博情感分类方法的基础上结合情感分析词典,引入情感值、微博标签、主题等特征,优化分类性能。在COAE(Chinese opinion analysis evaluation)微博评测数据集上,以准确率、召回率、F1值为评价指标对所提方法进行验证,证实了基于句法依存分析与CRFs相结合的评价对象抽取方法的有效性,分析了各类特征对情感分类性能的影响,最终在COAE微博观点句识别任务中准确率达91.4%。     

基于微博表情符号的情感词典构建研究

基于微博表情符号,提出一种自动构建情感词典的方法。 从微博平台抓取大量带有表情符号的微博文本,并依据表情符号对微博文本进行情感倾向标注,生成情感语料库。 对语料库进行分词、去重等预处理工作,根据词性规则抽取微博文本中情感词,统计每个情感词在正向和负向语料库中出现的次数,计算情感词的卡方统计值获得情感强度,根据情感词在正负微博文本中出现的概率判定情感词的倾向性,进而生成情感词典。 这是一种全新的思路。 以人工标注的情感词典为基准数据,实验结果表明,本文方法标注情感词的准确率在80%左右,在情绪词强度阈值θ为20、30时,生成情感词典综合F值最好,达到了82%以上。      

基于中文微博语料的情感倾向性分析

微博的兴起与传播使得短文本情感分类成为目前的热门研究领域。通过对中文微博语料的情感倾向性分析进行研究,提出了一种新的情感分类方法。首先构建了两级情感词典,并对不同级别情感词作不同增强;然后在情感特征方面使用N-Gram方法,尽量获取有限长度博文中的未登录情感词和情感信息。经实验验证与传统方式相比较,该方法的准确率和召回率都有所提高,在COAE2014微博情感倾向性评测任务中也取得了较好的成绩。     

基于三元词组模式的微博情感分类方法

针对微博的倾向性分析问题,提出了一种基于三元词组模式的情感分类方法。该方法通过构造情感词典及微博的三元词组模式,对未标注语料自动进行情感评分并标注情感极性,然后使用自动标注的语料训练得到情感分类器。在测试集上的实验结果表明,使用无人工参与标注的训练语料达到了79.26%的测试正确率。     

一种基于粗糙集的微博文本特征选择方法

本文对中文微博中主客观分类特征的选取进行了研究,通过词典与统计相结合的方法提取了基础情感词、语气词、程度词等8个候选特征,对提取的候选特征,提出了一种基于粗糙集与概率加权的特征选择算法,通过该算法最终选取了基础情感词、！或!、网络观点词、语气词、形容词、程度词作为分类特征。实验结果表明,本文提出的方法能达到较好的分类效果。     

基于改进BERT模型的时政微博评论情感分类

微博的流行使公众能够更加容易也更加积极地参与到社会话题的讨论中去,识别公众对事件的情感倾向已经成为一个有价值的话题。目前已有的情感分类方法往往是选择一种分类模型(比如SVM)或者结合几种分类模型,然后将数据直接进行分类,没有考虑根据数据的不同领域来调整分类模型。基于预训练的BERT网络,可以使用无标签的时政微博语料改进BERT模型,然后再进行情感二分类任务,其优势在于进行分类任务之前先进行无监督学习,使BERT模型学习到时政微博评论的语料特征,从而提高后续的分类任务效果。在约8万条时政微博评论的数据集上的实验结果表明该方法比直接采用BERT模型具有更高的准确率。     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

Perspherical Approaches for Electrons in Atoms and Charged Excitons in Quantum Wells

Instead of following Fock’s expansion,we solve the Schrodinger equation for some quantum mechanical manybody systems such as electrons in atoms and charged excitons in quantum wells in a similar way in hyperspherical coordinates by expanding the wave functions into orthonormal complete basis sets of the hyperspherical hannonics(HHs)of hyperangles and generalized Laguerre polynomials(GLPs)of the hyperradius.This leads the equation to     

Advances in broadband wireless communications under high-mobility scenarios

Future mobile communication systems aim at providing very high data transmission rates, even in high-mobility scenarios such as high-speed wheel-track trains, maglev trains, highway vehicles, airplanes, guided missiles or spacecraft. A particularly important commercial application is the strong and increasing worldwide demand for high- speed broadband wireless communications （up to 574.8 km/ h test speeds or 380 km/h commercial speeds） in railways, providing data, voice and video services for applications such as onboard entertainment services to passengers, train control, train dispatch, train sensor status handling and sur- veillance. In such high-mobility scenarios, there are a number of communication challenges, including fast hand- over, location updating, high-speed channel modeling, estimation and equalization, anti-Doppler spreading tech- niques, fast power control, and dedicated network architec- ture. Because signal transmission in very high-speed scenarios will inevitably experience serious deterioration, it is imperative to develop key broadband mobile communi- cation techniques for such high-speed vehicles.     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Scale-based spatial data model for GIS

Being the primary media of geographical information and the elementary objects manipulated, almost all of maps adopt the layer-based model to represent geographic information in the existent GIS. However, it is difficult to extend the map represented in layer-based model. Furthermore, in Web-Based GIS, It is slow to transmit the spatial data for map viewing. In this paper, for solving the questions above, we have proposed a new method for representing the spatial data. That is scale-based model. In this model we represent maps in three levels: scale-view, block, and spatial object, and organize the maps in a set of map layers, named Scale-View, which associates some given scales.Lastly, a prototype Web-Based GIS using the proposed spatial data representation is described briefly.     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to