Classification Model of Agricultural Science and Technology Policies Based on Improved BERT-BiGRU-Attention

[Objective] Agricultural science and technology policy plays an important role in scientific and technological innovation and resource allocation in agricultural science and technology activities, which reflects the directional guidance of national and local agricultural science and technology activities. The automatic classification of agricultural science and technology policies can improve the efficiency of searching and matching agricultural policies of stakeholders in “production, education, research and application”. Quickly find science and technology policy information related to their needs. [Methods] Combining with policy tools, policy objects and policy objectives, this paper constructs a three-dimensional classification index system of agricultural science and technology policies, establishes a classification data set of agricultural science and technology policies in Shandong Province, and constructs an improved Bert-BiGRU-Attention model, and conducts model performance evaluation and comparative experiments on the improved Bert-BiGRU-Attention model on the classification data set of agricultural science and technology policies in Shandong Province. [Results] The improved Bert-BiGRU-Attention model has higher classification accuracy on the data set of agricultural science and technology policy classification in Shandong Province, and the obtained F1 value is also better than other comparative models. [Conclusions] The experimental results show that the F1 value of the model proposed in this paper on the agricultural science and technology policy dataset of Shandong Province is 0.9650, which shows that the model performs well in the agricultural science and technology policy classification task.

Recommended citation: Wei Yijin & Fan Jingchao. (2024). An Agricultural Science and Technology Policy Classification Model Based on Improved BERT-BiGRU-Attention. Frontiers of Data and Computational Development (Chinese and English), 6(06), 53−61.
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