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。
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。
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。
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。
Then, we discuss how the multi- agent web text mining system on the grid can be used to implement text mining services.
并讨论了该系统提供文本挖掘服务的方法和步骤。
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。
Her expertise includes consumer health informatics, medical text mining, data integration, and internet user behavior analysis.
致力于公众健康信息学、医学文本挖掘、数据整合、互联网用户行为分析等技术的研发。
Text mining was used to extract technical intelligence from the global open nanotechnology and nano science research literature.
前言： 本研究采用文本挖掘技术，从在全球公开的纳米科学和技术研究文献数据库（SCI/ SSCI数据库）中提取技术情报。
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。
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。
Experiments he shown that the SKM method is both feasible and executable, and further proven that SKM method is simple, effective, and suitable for text mining.
实验结果验证了SKM算法的有效性和可行性，进一步表明SKM算法简单、高效，十分适合文本挖掘。
Research Interests: Text Mining, Knowledge Discovery FROM Text, Collaborative Technologies, Medical Informatics, User Information Behaviors, Information Synthesis.
研究方向：文本挖掘，文字的知识发现，协同技术，医学信息，用户信息的行为，信息综合。
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。
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。
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