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 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。
In this article, you use their term and named entity extraction services to perform text analysis.
在本文中，您使用他们的术语和指定实体抽取服务来执行文本分析。
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。
Text analysis is the process of enabling computers to extract meaning from text.
文本分析是指使计算机能够从文本中提取意义的过程。
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。
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。
An Annotator is the basic text analysis component.
标注器是基本的文本分析组件。
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。
You must specify which are the text fields that you want to run through text analysis (natural language processing).
您必须指定要在哪些文本字段上运行文本分析(自然语言处理)。
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。
Additional text analysis would enable us to find other relations between people, based on statements in the text.
其他文本分析使我们能够根据文本中的语句寻找人们之间的其他关系。
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 output of text analysis consists of the original text along with additional metadata about the text.
文本分析的输出由原始文本和关于文本的附加元数据组成。
The additional text analysis performed by the regular expression annotator does have a performance impact and will reduce the maximum parser throughput.
由正则表达式注释器执行的额外文本分析会影响性能，会降低解析器的最大吞吐量。
It may be helpful for those unfamiliar with text analysis to provide a brief overview of the technology and typical use cases that benefit from application of text analytics.
对于那些不熟悉文本分析的人来说，有必要对文本分析这种技术以及可通过应用文本分析而受益的一些通常的用例作一个简要的概述。
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。
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。
By counting the different kinds of words a person says, he is breaking new linguistic ground and leading a resurgent interest in text analysis.
通过计算一个人说话时使用各类单词的数量，他为语言研究开辟了一片新天地，学界对语篇分析的热情卷土重来。
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。
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。
Extend business reporting with text analysis.
使用文本分析扩展业务报告。
I then showed you how to integrate powerful external web services, provided by Yahoo! And AlchemyAPI, for text analysis.
我然后展示了如何集成Yahoo ！和AlchemyAPI提供的强大的外部web服务，用于文本分析。
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。
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)。
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。
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。
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。
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。
应用推荐