An Evaluation Model of Networked College Students' Values Shaping based on Automatic Material Extraction Algorithm

It has become a daily habit for college students to communicate and obtain information through the Internet. This is due to the fact that this is a network environment with developed Internet technology and diverse ideological and cultural backgrounds. This paper proposes an automatic classification algorithm based on the automatic material extraction algorithm. The algorithm is designed based on the vector space model and the principle of position correlation, which improves the accuracy of the original vector space model algorithm. Taking the use of text materials as an example, this paper uses the SWOT analysis method to conduct an in-depth analysis of the advantages, disadvantages, external opportunities, and threats of the value shaping of networked college students.