一种基于情感词典和朴素贝叶斯的中文文本情感分类方法*

基于朴素贝叶斯理论提出了一种新的中文文本情感分类方法。这种方法利用情感词典对文本进行处理和表示,基于朴素贝叶斯理论构建文本情感分类器,并以互联网上宾馆中文评论作为分类研究的对象。实验表明,使用提出的方法构成的分类器具有分类速度快、分类准确度高、鲁棒性强等特点,并且适合于大量中文文本情感分类应用系统。     

平板边界层湍流的数值分析

对于不可压缩平板边界层的时间模式的直接数值模拟（DNS）而言,在转捩后继续计算,就可以得到湍流直接数值模拟结果．分析计算结果发现,当湍流充分发展后,其平均流剖面、各种量的脉动均方根值和雷诺应力等沿平板法向的分布都具有相似性．不过,从转捩完成至湍流充分发展之间有一过渡过程,其间上述相似性不成立．这一结果为简化但又较准确地计算工程技术问题中的湍流提供了一种可能性．此外,还分析了其他一些湍流特征,如形状因子和位移排移厚度随时间的演化规律．为了观察到相干结构,须将展向的计算域缩小一半,以增加分辨率,研究结果表明,湍流边界层近壁区存在相干结构,其主要表现是准流向涡或涡对．     

Web-Based Semantic Similarity: An Evaluation in the Biomedical Domain

Computation of semantic similarity between concepts is a very common problem in many language related tasks and knowledge domains. In the biomedical field, several approaches have been developed to deal with this issue by exploiting the structured knowledge available in domain ontologies (such as SNOMED-CT or MeSH) and specific, closed and reliable corpora (such as clinical data). However, in recent years, the enormous growth of the Web has motivated researchers to start using it as the corpus to assist semantic analysis of language. This paper proposes and evaluates the use of the Web as background corpus for measuring the similarity of biomedical concepts. Several ontology-based similarity measures have been studied and tested, using a benchmark composed by biomedical terms, comparing the results obtained when applying them to the Web against approaches in which specific clinical data were used. Results show that the similarity values obtained from the Web for ontology-based measures are at least and even more reliable than those obtained from specific clinical data, showing the suitability of the Web as information corpus for the biomedical domain.     

浅谈基于粗集理论的文本归类系统

文本归类是处理大量文本数据自动分类的重要技术。基于粗集理论建立的林业文本信息归类系统,是在已知类别的训练集的基础上,通过分析训练数据样本,建立决策表产生区分矩阵构造出区分函数,并化简它,得到最小属性约简,最后应用Apriori算法产生最终分类的规则表,利用产生的规则表,可将林业文本信息数据进行自动归类。     

R&D项目价值评估的灰色B-S模型

针对传统净现值法不能有效评估RD项目价值的缺点,探讨了RD项目价值评估的适用方法,建立了基于区间灰数的RD项目价值评估灰色B-S模型,通过实例说明了该模型的有效性,并与传统净现值法的评估结果进行比较.结果表明,实物期权方法在评估RD项目价值时具有优势,为RD项目投资决策提供了一条新思路.     

基于模糊聚类分析中布尔矩阵法的一种改进算法

为避免布尔矩阵法中当截矩阵不是等价矩阵时需要对布尔矩阵重新构造才能实现分类,引入了分类对象间相似比的概念,引进了聚类分析中的布尔矩阵法.实例证明,与传统的几种分类方法的分类结果相比,改进算法得出的分类结果比较符合实际情况,更易让人接受和理解.     

中文文本分类中特征提取的方法

讨论了文本分类系统中的特征提取方法.探讨了文档频率(DF)、信息增益(IG)、互信息算法(MI)三种不同的特征提取方法对中文文本分类的影响,并提出了一种结合信息增益和互信息的特征提取方法.实验表明本文提出的特征提取方法一定程度上提高了中文文本分类准确性.     

增强Fisher判决的Bagging集成分类方法

提出了一种样本间的相似性度量方法,并将这种相似性度量信息附加到Fisher线性判别的类内、类间离散度矩阵,使得Fisher判决准则在使类内距离迭最小、类间距离迭最大的同时,也使类内相似度迭最小、类间相似度达最大,获得比原始Fisher判剐更好的投影矩阵。实验证明,与Bagging集成的Fisherfaee比较,该方法显示出更好的识别率。     

Similarity identification method on formational interfaces and application in general granite

An instrumented drilling system can be applied for the acquisition of drilling process parameters.The system can provide continuous and huge data for geotechnical engineering.However, due to the complexity of ground strata, the variation in the drilling parameters with stratigraphical characteristics is great and the correlation between likely comparable parameters is not high, which limits the use of conventional correlation approaches in this field.How to use the data for engineering and how to get a reasonable interpretation for the relationships among the drilling parameters, as well as between a drilling parameter and formational character-istics, become a technical choke point for the development and application of the instrumented drilling system.Based on similarity criteria, the extraction of sample data and characteristics, the pretreatment of data and feature matching algorithms have been ana-lyzed and an approach of slope coefficient searching identification has been established.A case study was carried out for the similar-ity between the rotational speed of the drill bit, flushing pressure, and effective thrust force graphics in general weathered granite.The result shows that the similarity coefficients between the rotational speed of the drill bit, flushing pressure, and effective thrust force are 0.72 and 0.83, respectively.Although there are differences between the distances of the graphics, the curves of both rota- tional speed and flushing pressure agree with the effective thrust curve in shape, which provides a possible method for the identifica- tion of various formations by use of the similarity between feature drilling parameters.     

Model test of the cutting properties of a shearer drum

According to similarity theory, we carded out a dimensional analysis of the shearer drum correlation parameters and built similarity criteria. Based on these, similarity models of shearer drums were developed. Simultaneously, based on an estab-lished cutting testbed of the coal and rock, cutting tests of different pick arrangements of the drum models were carried out, where the compressive strength of the analogous cutting material was 2.48 MPa and the drum rotary speed 67.5 r/min. The variance, the mean values, maxima and mean maxima of the torque load were analyzed for different type drum models. Moreover, the relation-ships between the type of pick arrangements and the cutting lump coal percentage were studied. The results indicate that the load fluctuation of the sequence drum is larger than that of the punnett square drum in the cutting process and the lump coal percentage and economic benefits of the sequence drum are inferior to the punnett square drum. We conclude that the punnett square drum is superior to the sequence drum.