搜索资源列表
libsvm-2.9
- 文本分类工具libsvm-2.9.zip 信息检索和数据挖掘的中用到的工具包， 里面有C++、JAVA、Python等多个语言版本-Libsvm-2.9.zip text classification tool for information retrieval and data mining tools used in the package, inside C++, JAVA, Python and other languages
Bayesianclassifierfortextclassificationalgorithms.
- 用于文本分类的朴素贝叶斯分类算法，包括代码和测试数据-Naive Bayesian Text Classification for classification algorithms, including the code and test data
bayes
- 实现朴素贝叶斯文本分类器，用java实验，还包括readme和训练集-Naive Bayes text classifier to achieve with java experiments, including readme and the training set
NaiveBayesClassifier
- 基于朴素贝叶斯的文本分类代码实现，java-Based on Bayesian text classification code，java
knn
- 分别利用java和C++实现的KNN文本分类算法，每个程序模块都有详细注释-Respectively, the use of java and C++ implementation of KNN text classification algorithm, each program module has detailed notes
Job1
- 这是一个实现文本分类的朴素贝叶斯方法，用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
java_KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.
NGram
- java 实现基于N-gram的文本分类算法-java based N-gram-based text classification algorithm
learning-spark-master
- 将逻辑回归应用于二元分类的情况。这里以垃圾邮件分类为例，即是否为垃圾邮件两种情况。然后，根据词频把每个文件中的文本转换为特征向量，训练出一个可以把两类消息分开的逻辑回归模型，判断输入测试语句是否为垃圾邮件。(Spark MLlib (Java): Input: spam.txt; normal.txt; text sentence. Output:1.0(spam), 0.0(normal email))