Research on the Method of Value Calculation of Network Science and Technology Information Intelligence Based on Deep Learning

Abstract

In the process of calculating the value of network technology information intelligence,on the one hand,a calculation method of network technology information and intelligence value based on deep learning is proposed in view of the diversity,dynamic and unstructured characteristics of network technology information and intelligence data.On the other hand,a calculation method of network science and technology information value based on TF-IDF is proposed in view of the problems of“sparse intelligence data”and“limited data dimension”in the processing of network science and technology information data.Through comparative analysis of experiments,it can be seen that the performance of the proposed method on different data sets is superior to the traditional characteristic value calculation method,and it can effectively dig out the hidden potential value information in the data of network science and technology information intelligence.