- 1. Extend business reporting with text analysis.
- 使用文本分析扩展业务报告。
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- 2. Perl is an excellent language for text analysis.
- Perl是用于文本分析的一种出色语言。
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- 3. An Annotator is the basic text analysis component.
- 标注器是基本的文本分析组件。
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- 4. Overview - OmniFind processing and custom text analysis.
- 概述——omnifind处理和定制的文本分析。
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- 5. SKILL_REPORT: The table containing the text analysis results.
- SKILL_REPORT：包含文本分析结果的表。
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- 6. 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。
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- 7. 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。
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- 8. 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)。
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- 9. 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。
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- 10. 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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- 11. 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。
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- 12. 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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- 13. 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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- 14. 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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- 15. Many additional text analysis components including word splitting, regex and sounds-like filters.
- 多个新增的文本分析组件，包括分词、正则表达式过滤器和近似读音过滤器。
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- 16. 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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- 17. 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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- 18. 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。
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- 19. 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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- 20. To have the collection use the auto-classifier, it needs to be associated with the new text analysis engine.
- 为了让集合使用自动分类器，需要将集合与新的文本分析引擎关联起来。
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- 21. 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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- 22. 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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- 23. 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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- 24. 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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- 25. 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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- 26. 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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- 27. 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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- 28. IBM has already announced that several business partners are making UIMA-compatible text analysis components available.
- IBM已经声明有几家业务合作伙伴正在开发与uima兼容的文本分析组件。
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- 29. 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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- 30. 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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