The 20NG dataset was created using the documents obtained from 20 Newsgroups and contained 11,314 training documents and 7,532 test documents.
recent studies showed that models based on neural networks can outperform conventional models (e.g., naïve Bayes) on text classification tasks (Kim, 2014;Iyyer et al., 2015;Tang et al., 2015;Dai and Le, 2015;Jin et al., 2016;Joulin et al., 2017;Shen et al., 2018).