Data and text mining software.
数据和文本挖掘软件。
Text mining is an important research field of data mining.
文本挖掘是数据挖掘的一个重要研究领域。
Text mining is data mining applied to information extracted from text.
文本挖掘就是用于从文本中提取信息的数据挖掘技术。
This paper study the new method of identifying them based on text mining.
本文从文本挖掘的角度探索了IPC和主题词确认的新方法。
In what follows, a very simple text mining application is described in some detail.
接下来，详细描述一个非常简单的文本挖掘应用程序。
Text mining is the kernel of the disjoint literature-based knowledge discovery.
文本挖掘是基于非相关文献知识发现的核心。
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。
Foreign Text mining and data visualization tools in patent information analysis.
专利文本挖掘和可视化工具研究。
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。
As an exploratory data analysis method, text clustering is very important in text mining.
文本聚类是目前文本挖掘中重要的探索性数据分析方法。
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。
Recently data mining and text mining are important research areas in information technology.
数据挖掘和文本挖掘是当前信息技术中的一个重要研究领域；
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。
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。
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。
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。
Text categorization is the foundation of text mining, and feature selection is the core of text categorization.
文本分类是文本挖掘的基础，而特征选择又是文本分类中的核心。
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。
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。
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。
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。
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。
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。
In the text mining, the technology of Chinese automatic word segmentation is a difficult problem that the computer science has to face.
在文本挖掘中，中国自动分词技术是计算机科学所要面对的一个难题。
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。
Therefore, the use of text mining technology based on patent map theory can be rightly applied to the profound analysis of some technological area.
因此，利用基于专利地图理论的文本挖掘技术正好适用于对某一技术领域的深层次分析。
Several methods of data mining and text mining have been studied in this paper, which mainly includes: attribute reduction methods, clustering methods.
本文研究了基于遗传算法和社会演化算法的数据挖掘和文本挖掘方法，主要包括数据挖掘和文本挖掘中的属性约简问题、聚类问题。
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。
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。
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。
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