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lingpipe-3.6.0
- 一个自然语言处理的Java开源工具包。LingPipe目前已有很丰富的功能，包括主题分类（Top Classification）、命名实体识别（Named Entity Recognition）、词性标注（Part-of Speech Tagging）、句题检测（Sentence Detection）、查询拼写检查（Query Spell Checking）、兴趣短语检测（Interseting Phrase Detection）、聚类（Clustering）、字符语言建模（Character
text-data-mining
- 此程序实现了如何在TXT或WORD文档中进行数据挖掘,在文本中提取有用信息-The realization of this procedure how to TXT or WORD document to carry out data mining, in the text to extract useful information
The-text-data-about-data-mining-algorithms
- 文本数据的数据挖掘算法:对大量存在的文本数据，用已有的结构化数据挖掘技术，提出了非结构化数据知识发现方法。-The text data about data mining algorithms
simpack
- simple TF-IDF Algorithm for text mining
KMEANS
- knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code-knn classification text mining and pattern recognition can be used to identify the other cate
text_data_mining
- java编写的数据挖掘方面的代码，里面包含有文本分类，作者身份识别方面的java源码，本人亲自参与编写-java code about data mining；include：text cluster ，authorship identification，
lda-0.1-matlab
- lda是一个集合概率模型，主要用于处理离散的数据集合，目前主要用在数据挖掘（dm）中的text mining和自然语言处理中，主要是用来降低维度的-lda is a set of probability models, mainly for dealing with discrete data sets, the key used in data mining (dm) in the text mining and natural language processing, is mainly u
Text_Feature_Extraction
- 文本特征提取方法研究。文本的表示及其特征项的选取是文本挖掘、信息检索的一个基本问题，它把从文本中抽取出的特征词进行量化来表示文本信息。-Text Feature Extraction. And characteristics of the text of that item selection is text mining, information retrieval is a basic problem, which to extract from the text to quantify t
imageprocessing1
- ocr app where usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used to convert books and documents into electronic files, to
1111
- 文本挖掘-中文分类器搜索，可以挖掘出文本主干，利用贝叶斯算法。-Text mining
Text-mining
- 文本挖掘 数据挖掘 智能化知识管理 知识挖掘-Text mining，Date mining，KM system knowledge management
The-progress-of-text-mining-research
- 挖掘又称为文本数据挖掘或文本知识发现，是指在大规模文本集合中发现隐含的、以前未知的、潜在有用的模式的过程．-Text mining，also known as text data mining or text knowledge discovery，means discovering implicit，previously unknown，and potentially useful patterns in large amounts of text．
Text-mining
- 10几篇文本挖掘方面的论文 例如 web内容挖掘综述 web内容挖掘技术研究.-Text mining,data mining,web mining.10 several text mining papers such as the web content mining Summary of Web Content Mining.
Sample.Chapter.14-Text-Mining
- Buku teks mengenai Retrieval Information dengan text mining
Text-Mining-For-Social-Networks
- Introduction to text mining for social networks and named entity recognition
Text-Mining-in-R
- 主要介绍了R语言环境下的文本挖掘，包括自然语言处理技术综述、tm包、xml包及文本挖掘方面的应用。-Introduces the R language environment text mining, natural language processing techniques including application review, tm package, xml and text mining aspects of the package.
text-mining
- 文本挖掘，用词项-文档矩阵带入算法模拟出标签云和词条网络-text mining
text-mining
- text mining using R programming
Text-Mining-in-R
- 文本挖掘的经典实例，文本挖掘被描述为 “自动化或半自动化处理文本的过程”，包含了文档聚类、文档分类、自然语言处理、文体变化分析及网络挖掘等领域内容。-Text Mining in R
R-for--text-Mining
- R來做text mining, 可以捉出文章中的重要字-R do text mining, you can catch the article in the important word