Theme open knowledge resource acquisition is usually realized by intelligence personnel through fixed-source and fixed-point data acquisition. But in the age of big data, the number of open access information resources has increased dramatically. In order to improve the accuracy and recall rate of automatic monitoring and collection of theme-related resources,to reduce intelligence personnel workload, the latest achievements of deep learning technology is introduced in the field of artificial intelligence. A theme resource monitoring and collection model based on deep learning is proposed. The word vector tool word2vec was used to train the collected corpus in depth. Similarity matching is conducted between theme crawler collection resources and theme model. The practice proves that the thematic monitoring method based on deep learning proposed in this paper is applied to the information monitoring system of the institute of ocean strategy. The accuracy of subject resource automatic monitoring is better than that of traditional detection algorithms.