Compared with these previous algorithms, our PL-DNB creates pseudo-labels by further considering the information of nearest neighboring documents.This can lead to more accurate pseudo-labels than only using seed words.
other dataless text classifiers aims to accurately categorize text documents by understanding the labels, i.e., embedding documents and category labels into a same semantic space (Chang et al., 2008;Palatucci et al., 2009;Elhoseiny et al., 2013;Song and Roth, 2014).