The first attempts were focused on how to build your own XQuery text-mining techniques based on determining word frequencies.
第一种尝试的焦点是，如何基于确定单词频率，建立您自己的XQuery 文本挖掘技术。
The researchers say this approach is better than existing text-mining systems, which can inform companies what people think of them but cannot make complex links between statements.
学者们认为这种方法比现有的文本采集系统要完善。 现有的系统只能让公司指导客户对他们有看法，却不能说明这种看法的多面性。
We will then use this rule file in a mining flow to extract the concepts from text columns in relational database tables.
然后，在一个挖掘流中使用这个规则文件，把概念从文本列中提取到关系数据库表中。
For this purpose it uses text mining to analyze Web pages and identify their key semantic concepts.
从这个出发点来看，它使用的是文本挖掘，试图分析网页并鉴定他们关键的语义概念。
The text mining application described in this article, Preston, analyzes documents to find mentions of peoples' names, and uses data mining to find groups of people who are often mentioned together.
本文中描述的文本挖掘应用程序称为Preston，它对文档进行分析，寻找提到的人名，并使用文本挖掘寻找常常同时提到的人。
PoolParty is a commercial thesaurus management and SKOS editor system that includes text mining and linked data capabilities.
PoolParty是一个商用的词库管理与SKOS编辑系统，它包含文件挖掘与数据链接功能。
Providing smart software that takes the grunt work out of mining text for opinions has helped Clarabridge of Reston, Virginia, grow at over 50% annually for the past few years.
弗吉尼亚州卡拉桥(Clarabridge)公司使用智能软件，减除意见挖掘中繁琐的部分，过去几年来，其年成长率皆超过50%。
InfoSphere Warehouse design Studio is the Eclipse-based tooling platform used to design workload rules, data transformation flows, and analytical flows for data mining and text analytics.
InfoSphere WarehouseDesignStudio是基于Eclipse的工具平台，用于为数据挖掘和文本分析设计工作负载规则、数据转换流和分析流。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
The difference between regular data mining and text mining is that in text mining the patterns are extracted from natural language text rather than from structured databases of facts.
文本数据挖掘也不同于常规意义上的数据挖掘，常规数据挖掘是在数据库中发现感兴趣的模式，而文本数据挖掘是从自然语言文本中发现模式。
Do you want to find out how statistics and machine learning can save you time and effort mining text?
你想知道统计学和呆板进修在开掘文本方面能够让你省时省力的因为吗？
Text mining mainly deals with incomplete data, unstructured data and character data.
文本挖掘主要处理半结构化、无结构化和字符型数据。
Data and Text Mining - Build descriptive and predictive models and deploy results throughout the enterprise.
数据和文本挖掘-建立描述和预测模型，和基于整个企业的战略部署。
This paper introduces common ontology and domain ontology, and analyzes text mining technology based on these ontologies.
介绍和分析了常识本体和领域本体以及基于这些本体的文本挖掘方法。
This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining.
该文提出了一种粗糙谱聚类算法，并将其应用于文本数据挖掘。
The methods of text character extraction and the text mining are then discussed.
在此基础上讨论了文本特征提取及文本挖掘的方法。
In this paper, some algorithms for machine learning and text mining have been researched.
本文研究了机器学习和文本挖掘的若干算法。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
命名实体识别是生物医学文献文本挖掘重要的第一步。
With the rapidly development of the text data, text mining have been an important study direction in data mining area.
随着文本数据的迅速增长，文本挖掘已经成为了数据挖掘领域的一个重要的研究方向。
The dealing technology of words in Chinese text mining is discussed, and an arithmetic of "no Dictionary Cutting word" is brought forward.
对中文文本挖掘中的词汇处理技术进行了较深入的探讨，提出了针对汉语语言特点的无词典分词算法。
Relation extraction is an important task in text mining, it can reflect the relationship between the named entities and is helpful to find implicit knowledge in the substantial data and text.
关系抽取是文本挖掘的一项重要研究内容，它能够反映命名实体之间的关系，有助于发现隐含在大量数据和文本中的知识。
This paper mainly introduces the research contents on text mining, mining process, mining algorithm and application foreground combined with our research work.
结合笔者研究工作，主要介绍了文本挖掘的研究内容，挖掘过程，挖掘算法及应用前景。
Since the text is one of the most widely used methods in storing information, it has great meaning on text mining.
由于存储信息最多的自然形式就是文本，因此文本挖掘具有重要的意义。
The latest researches of biomedical literature knowledge discovery, including main issues, accomplishment, and the key methods from text mining perspective, are discussed.
本文对生物医学文献知识发现的研究内容、研究成果以及基于文本挖掘的关键技术诸方面进行了系统的分析和阐述。
Text mining is an effective means of detecting potentially useful knowledge from large text database.
文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。
We tried to use text mining to find the connotation of theory of body and sprit, and provided a new way to study the theory of TCM.
将文本挖掘技术运用到形神内涵研究，为中医理论研究提供了一条新的思路。
However, conventional text mining technology cannot achieve high accuracy, because it cannot effectively make use of the semantic information of the text.
传统的文本挖掘方法由于不能有效运用语义信息而难以达到更高的准确度。
Text mining refers to the Principal in the social networking site uploaded to push the message on a specific topic related words selected for analysis.
文本挖掘技术是指，在上传到推特等社交网站上的留言中选取特定主题相关词语进行分析。
The connotation of theory of body and sprit is copious and text mining can find potential valuable information from plenty of message.
本研究试图运用文本挖掘技术对形神理论的内涵进行挖掘。
The connotation of theory of body and sprit is copious and text mining can find potential valuable information from plenty of message.
本研究试图运用文本挖掘技术对形神理论的内涵进行挖掘。
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