Text Classification Datasets：文本分类数据集

发表于

提供者：卢梦依
下载地址：http://t.cn/RJDVxr4

简介

数据集概述

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。

文件

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

相关论文

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.