Application of Natural Language Processing in Environmental Protection Industry Based on Monte Carlo Tree

Abstract

In this paper, a method of environmental science recognition based on natural language processing model is proposed. This method takes natural language processing model as the core, adds environmental protection professional word segmentation library and external feature recognition technology on the basis of general word segmentation library, realizes automatic extraction of accurate environmental science named entity information from EIA documents, and uses MCTS Monte Carlo tree to construct search engine. The search efficiency of named entity recognition process is improved.