• 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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)。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The next article in the series goes beyond the text analysis capabilities provided within InfoSphere Warehouse.

    本系列下一篇文章将深入探讨InfoSphere Warehouse提供的文本分析功能。

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