Sentiment analysis of natural language processing based on deep learning model
Hong Chen · 2022
The word vector representation technology based on neural language model can automatically learn the effective feature representation of words from large-scale unlabeled text data sets, and has made important progress in many natural language processing tasks and research. While achieving the above classification performance improvement, the training time of EMCNN relative to MCNN is reduced by 36% in subjective and objective classification, and in emotion 7 classification A reduction of 33.82%.