Text-Classification

机器学习入门/数据挖掘：中文文本分类器

数据集过大请自行下载，不在仓库附带

数据预处理采用jieba进行分词和TF/IDF加权，利用Redis数据库进行数据存储

采用朴素贝叶斯分类器、支持向量机（SVM）、逻辑回归（LR）三种模型实现训练和测试

分类结果和词频词云实现了可视化

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.idea		.idea
img		img
.gitignore		.gitignore
1-GetData.py		1-GetData.py
2-Preprocessing.py		2-Preprocessing.py
3-CreatDict.py		3-CreatDict.py
4-TermVector.py		4-TermVector.py
5-Bayes.py		5-Bayes.py
Bayes.csv		Bayes.csv
Bays_classification_report.csv		Bays_classification_report.csv
Confusion_Matrix.csv		Confusion_Matrix.csv
Confusion_Matrix_LR.csv		Confusion_Matrix_LR.csv
Confusion_Matrix_SVM.csv		Confusion_Matrix_SVM.csv
Evaluation.py		Evaluation.py
LICENSE		LICENSE
LR.py		LR.py
LR_classification_report.csv		LR_classification_report.csv
README.md		README.md
SVM.py		SVM.py
SVM_classification_report.csv		SVM_classification_report.csv
TF_Matrix.csv		TF_Matrix.csv
VisualComparison.py		VisualComparison.py
WordCloud.py		WordCloud.py
stop_sign.txt		stop_sign.txt
stop_words_ch.txt		stop_words_ch.txt

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