[Objective] Recognize the interdisciplinary nature of research in sci-tech literature to provide support for uncovering issues on the interdisciplinary frontier.[Methods] The paper combines discipline labels of sci-tech literature provided by specialists with discipline labels predicted by text classification algorithms to jointly identify the nature of sci-tech literature interdisciplinary research. [Results] The F1 index for the method proposed in the paper for identifying interdisciplinary research sci-tech literature was increased from 0.23 to 0.45. [Limitations] The model in the paper performs poorly in identifying recall metrics for interdisciplinary sci-tech literature and should be explored further in future work. [Conclusions] The paper focuses on the data of misclassified sci-tech literature among different disciplines to determine the nature of interdisciplinary research in sci-tech literature, which is a research direction that deserves further attention.