Text analysis is difficult if you try to create your own tools.
如果尝试创建自己的工具，那么很难进行文本分析。
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。
Text analysis debugger, showing result of every stage in an analyzer.
文本分析调试器，可显示文本分析器每一阶段的结果。
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。
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。
An Annotator is the basic text analysis component.
标注器是基本的文本分析组件。
Each annotator implements one specific text analysis function.
每个注释器实现一个特定的文本分析功能。
Extend business reporting with text analysis.
使用文本分析扩展业务报告。
Perl is an excellent language for text analysis.
Perl是用于文本分析的一种出色语言。
SKILL_REPORT: The table containing the text analysis results.
SKILL_REPORT：包含文本分析结果的表。
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。
The basic task behind text analysis is Information Extraction (IE).
文本分析背后的基本任务是信息提取(Information Extraction,IE)。
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。
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。
Select the Factbook_Concepts as the rule file to be used in the text analysis.
选择 Factbook_Concepts作为文本分析中使用的规则文件。
Following are two examples of business scenarios that illustrate the value of text analysis technology.
下面两个业务场景示例说明文本分析技术的价值。
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。
应用推荐