Chinese Short Text Classification Based On Deep Learning

Abstract

With the development of Internet technology, more and more Chinese platforms are creating massive Chinese texts. At present, obtaining data samples for training is no longer a problem, and more and more researchers are beginning to devote themselves to obtaining great value from mining text information. Chinese text classification is mainly used for user sentiment analysis, personalized recommendation, topic tracking, and public opinion monitoring. However, Chinese texts naturally have many difficulties, such as many ambiguities, difficult word segmentation, fewer words, and sparse features. Traditional machine learning has a poor realization effect on Chinese texts. Deep neural networks are gradually becoming a new trend in Chinese text classification.