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
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。
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包含8个文件,文件名和大小分别如下:
ag_news_csv.tar.gz | 11MB |
amazon_review_full_csv.tar.gz | 614MB |
amazon_review_polarity_csv.tar.gz | 656MB |
DBPedia_csv.tar.gz | 65MB |
sogou_news_csv.tar.gz | 366MB |
yahoo_answers_csv.tar.gz | 187MB |
yelp_review_polarity_csv.tar.gz | 159MB |
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.
发布时间 | 2015年3月29日 |