文本分析可以抽取出一组代表文档特征的关键词。
Text analysis can extract a set of keywords that characterize the document.
使用新的文档特征抽取方法构造了文档的主题和关键字特征向量。
It constructs document feature vector of subject and Keyword separately by using a new method of document feature extraction.
系统利用中文文档信息处理中的文档特征向量提取技术，作为邮件过滤的依据。
The system completes email filtering function, on the basis of document eigenvector pick-up technology of Chinese document information management.
本文论述了XML文档特征、应用XML的优势、XML数据访问的三种方法及其在ASP 。
This paper makes a survey of XML document characteristics, advantages of adopting XML, three data access methods and implementation on ASP.
特征选择是文档分类中常见的预处理工作，通过对文档特征空间降维，可以提高文档的分类性能。
Feature selection is frequently used as a preprocessing step to text classification, which is effective in reducing dimensionality and increasing classification accuracy.
分别构建文档特征向量和用户兴趣向量，运用向量空间模型对其做相关性计算，返回用户感兴趣的检索结果。
We set up document feature vectors and user interest vector, and do their correlation calculation by using vector space model, finally return the interested results for the user.
本文根据BP神经网络的函数逼近功能，针对文档特征项在文档中的权重，提出了一种基于BP神经网络的网络计算模型。
This paper presents a calculation model based on BP neural net to account the weight of a feature item in a document.
这些用户无意中会创建自己的格式化特征，并开始在文档中使用它们。
These users unintentionally create their own formatting characteristics and start following those in the document.
尽管这些文档是生成的，但是它们的缓存特征与静态文件的完全相同。
Though the documents are generated, their caching characteristics are identical to those of static files.
逻辑模型的元素具有属性和关系，用于反映其基础文档中定义的特征子集。
Elements of the logical model have properties and relationships reflecting a subset of their characteristics as defined in the underlying document.
逻辑模型的元素具有属性和关系，用于反映其基础物理文档中定义的特征子集。
Elements of the logical model have properties and relationships reflecting a subset of their characteristics as defined in the underlying physical document.
通过首先检查这些特征，就可以过滤掉大量不合要求的内容，仅处理最有可能的文档，从而节约了时间。
If you check these characters first, you can filter out a lot of the chaff and save time by parsing only the most likely candidates.
代码转换是根据请求设备的特征和用户首选项动态地修改和定制文档的过程。
Transcoding is the process of dynamically mutating and customizing a document based on the characteristics of the requesting device and on the user's preferences.
可以用该特征，通过对服务描述引用进行分组分到不同的文档中来管理服务描述引用。
This feature can be used to manage service description references by grouping them into different documents.
也许是一组获得愿景文档的人坐在一起聆听演讲，之后讨论所列出的特征列表。
Perhaps a group of people who have received copies of a Vision document sit together around a table to view a presentation on the Vision and afterwards debate the proposed feature list.
一组特征，它们定义应该返回的文档源(例如，Web或WCM站点)。
A set of features defining the source of the documents that should be returned (for example, the Web or WCM sites).
以下是文档版本控制的一些特征。
使用特征值的代码可以应用到特定文档元素，这种方式产生的样式是 <office:automatic-style>。
The code using characteristic values can be applied to a specific document element, and the style created in this way is <office:automatic-style>.
例如，在阅读一个XML文档时，book：title等价于“将title作为book的一个特征”，它为人们浏览某些XML时提供了便利。
For example, book: title is equivalent to "title as a characteristic of a book" when read in an XML document, which is convenient when a person has to scan some XML.
对iCloud的讨论同时表明到时可能会有一个特别的设置，会与现在的云基础的文档储存Dropbox有些特征差异。
The mention of iCloud could also indicate a move to include a feature not unlike cloud-based file storage service Dropbox.
每个表格后面是每个工具自己的文档中对每个工具的描述，以及每个工具的一般特征的大致细分。
Following each table is a description of each tool from its own documentation, and high level breakdown of each tool's general characteristics.
这个重复性特征可在处理组织中的所有流程时简化文档创建工作。
This repeatability feature makes it less painful to create your documentation as you move through all the processes in an organization.
这些文档的特征是：具有不规则的结构和混合的内容，而且，文档的物理结构是重要的。
They are characterized by irregular structure and mixed content and their physical structure is important.
在Scala文档集中，经典的示例就是Ordered 特征，它定义了名字很有趣的方法，以提供比较（以及排序）功能，如清单13 所示
Within the Scala documentation set, the classic example is the Ordered trait, which defines methods-with-funny-names to provide comparison (and thus ordering) capabilities, as shown in Listing 13
但是它是一个良好的开始，并且向您展示了，用不多的XQuery代码，就可以得到一组基本的描述文档文本内容特征的关键词。
But it's a good start and shows you that with a small amount of XQuery, it's possible to get a basic set of keywords characterizing a document's textual content.
使用了1,000到100,000个CustAcc文档(4k b到20kb大小)，这些文档来自文章“DB 29XML性能特征”中的金融场景。
Between 1,000 and 100,000 CustAcc documents (4kb to 20kb in size) were used, taken from the financial scenario in the "DB2 9 XML performance characteristics" article.
这一段文档基于视觉，行为特征，数据模型以及用户体验定义了应用程序的三个样式。
This document identifies three application styles, based on visual and behavioral characteristics, data model, and user experience.
一个基于位置的文件系统——在单一存储位置上——必须借助单个属性，而不是多个特征来存储每个文档。
A file system based on place-on its single storage location-must necessarily store each document by a single attribute (client or document type) rather than by multiple characteristics.
一个基于位置的文件系统——在单一存储位置上——必须借助单个属性，而不是多个特征来存储每个文档。
A file system based on place -on its single storage location -must necessarily store each document by a single attribute (client or document type) rather than by multiple characteristics.
一个基于位置的文件系统——在单一存储位置上——必须借助单个属性，而不是多个特征来存储每个文档。
A file system based on place -on its single storage location -must necessarily store each document by a single attribute (client or document type) rather than by multiple characteristics.
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