Research on the Text Classification Algorithm of Forestry Information Based on Deep Learning
In order to improve the efficiency of forestry text data processing and classification,a forestry information text classification algorithm is designed by using deep learning method.The specific design includes deep learning model architecture,data preprocessing,feature extraction layer design,sequence processing and modeling,aiming at the automatic management of forestry information.The test results show that the algorithm performs well in accuracy and speed,and can support the automatic processing and in-depth analysis of forestry information text.
deep learningclassification algorithmfeature extraction
NETL
NSTL
万方数据
