Text analysis can extract a set of keywords that characterize the document.
文本分析可以抽取出一组代表文档特征的关键词。
Analysis converts text data into tokens, and these tokens are added as terms in the Lucene index.
分析将文本数据转换为标记，这些标记将作为项添加到Lucene索引中。
Analysis is converting the text data into a fundamental unit of searching, which is called as term.
分析是将文本数据转换为搜索基本单位(称为项(term))的过程。
For more complex text analysis tasks, the development of a custom annotator may be of interest.
对于更复杂的文本分析任务，可能需要开发定制的注释器。
Semantic search requires text analysis components to analyze documents for concepts of relevance and create searchable metadata.
语义搜索要求文本分析组件分析文档的概念相关性并创建可搜索的元数据。
Text analysis, which is closely related to the understanding and expression in translation, has been studied in translation theories.
语篇分析与翻译理解和表达密切相关，已被纳入翻译理论研究范围。
Some of the most interesting and active fields related to text analysis are scientific research and sentiment detection.
与文本分析相关的最有趣、最活跃的领域是科学研究和情感探测。
This section describes how to create the skills report that displays the results of the text analysis.
本节介绍如何创建显示文本分析结果的技能报告。
In one of our projects, there was need for unstructured text analysis; UIMA looked like doing exactly what was needed.
我们曾经有一个项目，它需要非结构化的文本分析；uima似乎是理想之选。
It also described some possibilities regarding how text analysis results can be used to create new insights.
还讨论了通过文本分析发现新信息的一些可能性。
An indexing engine, which defines the strategy to use for text analysis (the analyzer) and the index storage to use to record indexes.
索引引擎，用于定义文本分析(分析程序)所用的策略和用于记录索引的索引存储。
The CPAN Lingua modules can give you power and flexibility in any text analysis task.
CPANLingua模块可以在任何文本分析任务中为您提供功能和灵活性。
This lets you extend the text analysis capabilities of InfoSphere Warehouse to meet your specific requirements.
这允许您扩展InfoSphereWarehouse的文本分析功能，以满足特定的需求。
One possible extension of this application would be to recognize more kinds of entities, and relations between the entities, by using more sophisticated text analysis.
对这个应用程序可能进行的一种扩展是，通过进行更复杂的文本分析，识别更多类型的实体以及实体之间的关系。
While this article has focused on text analysis, UIMA can also be used to analyze other kinds of unstructured information such as audio and images.
尽管本文主要关注文本分析，但是UIMA还可以用于分析其他类型的非结构化信息，比如音频和图像。
The rest of this article briefly presents the basic architecture of InfoSphere Warehouse and its text analysis features.
本文的其余部分简要介绍InfoSphereWarehouse及其文本分析特性的基本体系结构。
In addition to the common text analysis methods above, InfoSphere Warehouse allows the use of Apache UIMA compatible annotators.
除了上面的常用文本分析方法之外，InfoSphere Warehouse还允许使用与Apacheuima兼容的注解器。
This article is the third and last of this three part series about the use of InfoSphere Warehouse for text analysis.
本文是关于使用InfoSphere Warehouse进行文本分析的系列文章的第3部分，也是最后部分。
In this section, you will create a Cognos report that displays the text analysis results you extracted in the last section.
在本节中，您将创建一个Cognos报告，显示您从上一小节中提取的文本分析结果。
Instead of creating the dictionary from scratch using frequent terms, use the sample it_skills dictionary from the text analysis sample project.
与使用常用词从头创建字典相反，可以使用文本分析样例项目中的样例it_skills字典。
We could include other evidence for a connection by either including additional structured data, such as database tables that show which people worked together on movies, or by deeper text analysis.
还可以包含其他证据，这可以通过包含其他结构化数据（比如用数据库表记录哪些人为同一部电影工作过），或者通过进行更深入的文本分析。
But it is easy to consume the result tables containing the text analysis results, like any other database table in the Cognos report.
但是可以很轻松地使用包含文本分析结果的结果表，就如同使用Cognos报告中的任何其他数据库表一样。
It also explains how you can use InfoSphere Warehouse to import and execute text analysis engines that were created with prior versions of UIMA.
此外，还解释了如何使用InfoSphereWarehouse导入并执行使用以前版本的UIMA创建的文本分析引擎。
Omnifind Enterprise Edition 8.4 ships with a powerful text analysis module that can be configured to detect a wide variety of concepts in processed documents.
OmnifindEnterpriseEdition 8.4附带一个强大的文本分析模块，可以通过配置这个模块在处理的文档中检测许多概念。
A general and common type that is often used in text analysis to derive additional types is the Annotation type, which is provided by the UIMA framework.
在文本分析中，用于派生其他类型的概括性的通用类型被称为annotation类型，它由UIMA框架提供。
Cognos 8 Reporting is able to consume structured information from many data sources, and it can be used to propagate the text analysis results to a wide audience.
Cognos8Reporting同样能够使用来自各种数据源的结构化信息，并且可用于将文本分析结果传播给广泛的受众。
This article describes some options for integrating the results of text analysis, the MIML files, into a relational schema for use by normal business reporting tools, such as Cognos.
本文描述将文本分析的结果，即MIML文件集成到关系模式中，以供常规的业务报告工具(例如Cognos)使用的一些选项。
Specify the condition for the table Join operator by connecting the tables using the unique term number, which is SKILL_ID in the result set of the text analysis and TERM_ID in the taxonomy table.
通过使用唯一的术语编号将表连接起来，为TableJoin操作符指定条件，术语编号为文本分析结果集中的SKILL_ID，和位于分类表中的TERM_ID。
The db2pd call gathers information about locks, transactions, applications, and the statement cache and stores this information in a text file for analysis purposes.
db 2 pd调用收集与锁定、事务、应用程序、语句缓存相关的信息，并将信息存储在一个文本文件中以供分析。
UIMA is a component architecture and a software framework implementation for the analysis of unstructured content such as text, video, and audio.
UIMA是一个用于分析非结构化内容(比如文本、视频和音频)的组件架构和软件框架实现。
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