片语

text technical analysis文本技术分析

text knowledge analysis文本知识分析

text hierarchical analysis文本层次分析

text editor analysis Masters文本编辑分析大师

Text Polarity Analysis文本褒贬分析

text association analysis文本关联分析

text discourse analysis语篇分析

text opinion analysis文本观点倾向性分析

英汉例句

• 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。

• 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。

• 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。

• many text analysis tasks can be addressed by extending the rules of the regular expression annotator.

  通过扩展正则表达式注释器的规则，可以执行许多文本分析任务。

• 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。

• 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。

• 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。

• 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。

• annotators or text analysis engines from different sources can be easily plugged into the uima framework.

  来自不同来源的标注器或文本分析引擎可以轻松地插入uima框架。

• 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。

• 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。

• 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。

• an annotator is the basic text analysis component.

  标注器是基本的文本分析组件。

• you can use built-in text analysis functions, namely dictionary based and regular expression based named entity extraction, as explained in the previous articles of this series.

  您可以使用内置的文本分析特性，即基于词典和基于正则表达式的命名实体提取，如本系列的前面的文章所述。

• although t-sql is extremely powerful for most data processing, it provides little support for text analysis or manipulation.

  尽管t-sql对多数数据处理而言极其强大，但它对文本分析或操作所提供的支持却很少。

• 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）。

• this section provides an overview of how the text analysis results created by the analysis engines are represented in the database.

  本文概述如何在数据库中表示由分析引擎创建的文本分析结果。

• 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。

• 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。

• the next section gives you a step-by-step example for this kind of integration: text analysis is used to extract structured information from a database table containing unstructured information.

  下一小节将针对此类集成给出一个逐步指导示例：文本分析被用于从包含非结构化信息的数据库表中提取结构化信息。

• attempting to perform any sophisticated text analysis using the built-in string functions results in massively large functions and stored procedures that are difficult to debug and maintain.

  尝试使用内置的字符串函数执行任何复杂的文本分析会导致难于调试和维护的庞大的函数和存储过程。