A study of automatic classification of news headlines by bidirectional GRU models

This article adopts the bidirectional GRU algorithm to set up classifiers, which is mainly used in the image field and is an upgraded version of LSTM deep learning algorithm. Its performance and accuracy have been improved compared to LSTM. After consulting information, the LSTM algorithm has achieved excellent results in the field of text classification, and the actual results in this article can also achieve an accuracy rate of about 85%. Moreover, due to the inherent characteristics of the algorithm, the larger the data volume, the higher the processing accuracy.