Intelligent Input and Analysis System of Pre-Qin Literature Based on Intelligent Text Extraction and Analysis Algorithm

Intelligent input and analysis system of pre-Qin literature based on intelligent text extraction and the analysis algorithm is studied in the paper. Compared with the traditional computing model, the active storage computing model distributes the computing tasks on the host node and the device node. If the computing task is allocated properly, the computing efficiency can be increased by about 65%. The character segmentation of Chinese characters is not suitable for the above method due to the complexity of the Chinese characters. The trough projection method is used to segment Chinese characters, that is, column scanning. Considering this, the novel intelligent text extraction and the analysis algorithm is designed considering SVM and PCA. The test is applied to the recognition tasks. Through the verification analysis on the results, the performance is shown.

I. Introduction

In the process of computer program research, in order to achieve its imitation of the human brain, it is the key content of machine learning [1, 2, 3]. In the process of constructing knowledge, the human brain needs to then summarize relevant laws and phenomena existing in environmental data [4, 5].