Application of Natural Language Processing Model in Agricultural Index System

作者：Weicheng Yin, Jie Fang · 发表于：2021 International Conference on E-Commerce and E-Management (ICECEM) · 年份：2021 · DOI：10.1109/icecem54757.2021.00076 · 研究领域：Rural development and sustainability

With the development of China's agricultural economy, the study of agricultural development theory has also made remarkable achievements, but the study of agricultural index system is still in the primary stage. In this paper, the evaluation index system of Chinese scholars in various agricultural development directions is collected through HowNet and VIP database, and the unique index system of each agricultural development direction is obtained by using text feature extraction model, and an index dictionary is established. At the same time, the accuracy of the unique index system corresponding to each agricultural development direction is verified by using the text classification model. The results show that the index system generated by the model can well represent different agricultural development directions, and has important reference significance for the establishment and weighting of agricultural index system.