Natural Language Processing Based on Convolutional Neural Network and Semi Supervised Algorithm in Deep Learning

Natural Language Processing Based on Convolutional Neural Network and Semi Supervised Algorithm in Deep Learning

연구 분야: Artificial Intelligence

학회: 2022 International Conference on Artificial Intelligence in Everything (AIE)

Natural language (neural network) is composed of a large number of human visual systems. Its research began with artificial perception and is used to describe things or phenomena involved in the process of human brain processing external information. At the same time, neural network is a nonlinear system description and analysis method. It is mainly used in manual calculation, pattern recognition and so on. Therefore, this paper studies natural language processing based on convolutional neural network and semi supervised algorithm in deep learning. Firstly, this paper expounds the definition of natural language processing, then studies the application of convolutional neural network and semi supervised algorithm, and tests the feature recognition of word vector in natural language to show the optimization results of deep learning algorithm. The test results show that the effect of word vector merging is relatively high. In the optimization process of convolutional neural network, after adding standard interval for semi supervised learning, the accuracy of prediction results also increases significantly, and with the increase of the number of labels, the accuracy also increases gradually.