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[AI-NN-PRTextCategorization

Description: 基于朴素贝叶斯算法实现的中文文本分类程序。可以对中文文本进行分类识别,使用时先对分类器进行训练,然后进行识别。该Beta版本仅支持对3类文本进行分类,使用简单的中文分词方法,本程序尚不具备实用性,用于算法研究和改进。-based on Bayesian algorithms to achieve the Chinese text classification procedure. Can the Chinese text classification identification, the use of the first classifier training, and then the identification. The Beta version only supports three types of text classification, the use of simple Chinese word segmentation, this procedure does not have relevance for the algorithm and improved.
Platform: | Size: 317440 | Author: 钱磊 | Hits:

[Other resourceTestTrec

Description: 用于文本分类的一个程序,包括文本的预处理,过滤,分词,去停用词等步骤。编译后可运行。-For a text classification procedures, including the text of the pre-processing, filtering, segmentation, to stop words such as steps. Compiler can be run.
Platform: | Size: 28390400 | Author: 鲁西西 | Hits:

[JSP/Javaictclas4j_3

Description: 贝叶斯公式,文本分类,中文分词,在eclipse下打包重新编译通过的,方便实用和开发。-Bayesian formula, text classification, Chinese word segmentation, in eclipse under the package recompilation adopted to facilitate the utility and development.
Platform: | Size: 6796288 | Author: June | Hits:

[AI-NN-PRClassifier4J-0.6-dist

Description: Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能-Classifier4J is a very good java-based classifier, which has Native bayes and KNN methods, such as text classification. It also provides a summary of word segmentation and automatic functions
Platform: | Size: 726016 | Author: 李力 | Hits:

[JSP/Javalingpipe-3.6.0

Description: 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 Language Modeling)、医学文献下载/解析/索引(MEDLINE Download, Parsing and Indexing)、数据库文本挖掘(Database Text Mining)、中文分词(Chinese Word Segmentation)、情感分析(Sentiment Analysis)、语言辨别(Language Identification)等API。-A natural language processing of the Java open-source toolkit. LingPipe currently have a lot of useful features, including Subject Classification (Top Classification), Named Entity Recognition (Named Entity Recognition), part of speech tagging (Part-of Speech Tagging), sentence detection problem (Sentence Detection), spell-checking query (Query Spell Checking), interest in the phrase detection (Interseting Phrase Detection), Cluster (Clustering), Character Modeling Language (Character Language Modeling), medical literature to download/analysis/index (MEDLINE Download, Parsing and Indexing), text mining database (Database Text Mining), Chinese word segmentation (Chinese Word Segmentation), emotional analysis (Sentiment Analysis), language identification (Language Identification), such as API.
Platform: | Size: 4669440 | Author: 张国栋 | Hits:

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