Hybrid Graph Neural Network Model Design and Modeling Reasoning for Text Feature Extraction and Recognition

Abstract

Natural language processing is an important branch of deep learning. In particular, the classification of short texts is one of the main tasks of computer linguistics, because it ensures the security of information. Therefore, this paper reviews the text classification methods for the first time, aiming at comparing the modern methods to solve the text classification problems, determine the trend in this direction, and select the best algorithm to be applied to research and business tasks. In this paper, with the help of the emerging algorithm in the field of deep learning, a web domain knowledge text classification method based on feature words is developed with the support vector machine (SVM) as the basic classification algorithm. Two datasets representing basic research disciplines and emerging research fields are selected to verify the proposed research framework. Experiments show that the performance of this method is improved by 3% compared with the benchmark method.