Intelligent Automatic Platform for Compilation of Engineering Practice Textbooks in College based on Deep Big Data Intelligent Retrieval Algorithm

Intelligent automatic platform for compilation of engineering practice textbooks in college based on deep big data intelligent retrieval algorithm is designed in this study. The main reason why there is such a big contrast between the agenda setting effect of traditional media agenda network, social media agenda network and public agenda network at the semantic network level and the agenda setting effect at the potential semantic network level is that the network agenda setting effect is measured according to the explicit semantic network. With this basic model, this paper uses the word vector to achieve the intelligent retrieval algorithm. This method is suitable for cross-language tasks with large language gaps. The distribution of the words of different languages in the vector space is quite different, and multiple matrices are required for fine-grained mapping. Then, the novel platform is implemented with thew integration of the robustness testing.