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Feature extraction - sklearn文本特征提取
http://blog.csdn.net/pipisorry/article/details/41957763
http://scikit-learn.org/stable/modules/feature_extraction.html
sklearn之sklearn.feature_extraction.text.CountVectorizer
http://blog.csdn.net/conquerorjia/article/details/24963177
应用scikit-learn做文本分类
http://blog.csdn.net/abcjennifer/article/details/23615947
scikit-learn:CountVectorizer提取tf都做了什么
http://blog.csdn.net/mmc2015/article/details/46866537
sklearn.pipeline.Pipeline类的用法
http://blog.csdn.net/lulei1217/article/details/49582887
sklearn.feature_extraction.text
.CountVectorizer?
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
应用scikit-learn做文本分类
http://blog.csdn.net/abcjennifer/article/details/23615947
Python写入CSV文件的方法
http://hyry.dip.jp/tech/book/page/scipy/numpy_file.html
Python将数组(矩阵)存成csv文件,将csv文件读取为数组(矩阵)
- import numpy
- my_matrix = numpy.loadtxt(open("c:\\1.csv","rb"),delimiter=",",skiprows=0)
将数组或者矩阵存储为csv文件可以使用如下代码实现:
- numpy.savetxt(‘new.csv‘, my_matrix, delimiter = ‘,‘)
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