Description: AI::Categorizer is a framework for automatic text categorization. It consists of a collection of Perl modules that implement common categorization tasks, and a set of defined relationships among those modules
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Author:辉腾 |
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Description: 基于向量空间模型的文本自动分类系统的研究与实现-Vector Space Model Based on Automatic Text Categorization System Platform: |
Size: 37888 |
Author:lingqiang |
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Description: 文本语料库介绍，是RETER-21578的说明文档，对文本分类测试很有用-Introduction text corpus is RETER-21578 the documentation of text categorization test is useful Platform: |
Size: 9216 |
Author:lingqiang |
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Description: 完成支持向量机方法的文本分类 用C++语言编写-The completion of support vector machine method of text categorization with C++ Languages Platform: |
Size: 473088 |
Author:jenny |
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Description: Chinese text categorization and classification of the document indexing mechanism model of Platform: |
Size: 4718592 |
Author:huihui |
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Description: libsvm工具箱，用于分类的绝佳工具，也可用于非线性回归及预测，或拟合，其中文本分类是其长项，回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a very good performance, Platform: |
Size: 97280 |
Author:陈墨 |
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Description: 利用SVM算法来进行中文文本分类像百度一样提取关键字，把一句话里的如动词、名词、形容词...分类出来-Using SVM algorithm for Chinese text categorization, like extracting keywords as Baidu, the sentence in the verbs, nouns, adjectives ... Sort out Platform: |
Size: 877568 |
Author:shenqizao |
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Description: 这是用java实现的KNN算法分类器 实现了机器的自动学习与文本自动分类 仅供学习使用-This is a java implementation of the KNN algorithm with classifier achieved the automatic machine learning and text categorization learning to use only Platform: |
Size: 1854464 |
Author:翔子 |
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Description: 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。
应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行
特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本
具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行
训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text categorization Study. Application ICTCLAS word segmentation of Chinese document, in large dimension, multiple-data cases where application TFIDF feature selection, and also use it to realize the characteristics of weighted items, so that each text text library with a unified, capable of handling structural model. Three types of classification algorithm then weights the data for training and classification. Platform: |
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Author:wulili |
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Description: 本文主要探讨了文本分类系统的实现和关键技术，第一部分为引言，第二部分描述了文本分类解决的问题并对其性能评估方法进行了介绍，第三部分探讨了文本分类系统的关键技术，第四部分给出了我们实现的基于向量空间模型的文本分类系统的结构框架，第五部分是该系统的测试数据和实验结果，第六部分是对将来工作的设想，第七部分是结束语-This paper discusses the realization of the text classification system and key technologies, the first part is an introduction, the second part describes the text classification problems and its performance evaluation methods are introduced, and the third part discusses the key technologies of text categorization system, The fourth section presents our implementation of text-based vector space model frame of the classification system, the fifth part is the system test data and experimental results, the sixth part is the idea of future work, part VII Conclusion Platform: |
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Author:庐山 |
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Description: 基于Labeled-LDA模型的文本分类新算法-Labeled-LDA model based on the new algorithm for text categorization Platform: |
Size: 201728 |
Author:李苑平 |
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Description: this the ppt of text categorization by back propagation-this is the ppt of text categorization by back propagation Platform: |
Size: 124928 |
Author:devu |
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Description: 非常好的文本分类的入门文章
表达清晰有趣-Very good introductory text in text categorization
Clear and interesting
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Size: 184320 |
Author:highya |
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Search - Text Categorization