[Objective] This paper proposes a new method to discover collaboration opportunities from emerging issues. [Methods] We used literature corpus of deep learning as the research object. Firstly, we explored the intrinsic characteristics of these literature with the LDA topic model. Then, we calculated their weights, and used topics as nodes to build topic co-occurrence network. Finally, we applied link prediction to find the potential opportunities. [Results] The optimal index of topic co-occurrence network in deep learning was AA. The big data analysis research in deep learning were more likely associated with the biomedical studies and the improvement of related algorithms. [Limitations] Link prediction generated poor results for badly connected networks. [Conclusions] The LDA topic model and link prediction method could help us find new collaboration opportunities from emerging issues.
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