包含多个的文本分类数据集

Text Classification Datasets：一个文本分类数据集，包含8个可用于文本分类的子数据集，样本大小从120K到3.6M，问题范围从2级到14级，数据来源于 DBPedia、Amazon、Yelp、Yahoo!、Sogou 和 AG。 需要翻墙，访问：Google driver 包含8个文件，文件名和大小分别如下： 1.Joachims T. Transductive Inference for Text Classification using Support Vector Machines[C]// Sixteenth International Conference on Machine Learning. Morgan Kaufmann Publishers Inc. 1999:200-209. 2.Joulin A, Grave E, Bojanowski P, et al. Bag of Tricks for Efficient Text Classification[J]. 2016:427-431. 3.Zhang Y, Wallace B. A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification[J]. Computer Science, 2015. 4.Ji Y L, Dernoncourt F. Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks[J]. 2016:515-520. 5.Chen G, Ye D, Xing Z, et al. Ensemble application of convolutional and recurrent neural networks for multi-label text categorization[C]// International Joint Conference on Neural Networks. IEEE, 2017:2377-2383.