Forestry Text Classification Based on DeepSeek in Forestry Domain Hint Engineering

With the rapid development of the Internet, a variety of texts are emerging rapidly and massively on the Internet. Classifying these texts is a common requirement among people. However, in practical life, the classification of texts in certain fields, such as forestry texts, is obviously more urgent. A method for forestry text classification was proposed by using prompt engineering in the forestry field and calling the DeepSeek interface. The experimental results show that the proposed classification method based on DeepSeek is better than the classification methods based on Naive Bayes and BERT.