Natural language formal analysis theory has created brilliant achievements on the basis of previous studies. However, with the development of computing power and the advent of the deep learning boom, some people believe that the rule-based rationalist method is outdated, and deep learning that relies on massive data can truly realize artificial intelligence. When traditional natural language is directly transplanted to text language, the short content of natural language will cause data sparseness and result in deviation of calculation results. This paper proposes a new natural language similarity measurement method by using NLP artificial intelligence tools. This method first preprocesses short texts, then builds a complex network model for natural language, calculates the complex network feature values of natural language words, and then uses NLP artificial intelligence tools to calculate the semantic similarity between natural language words, and then combines natural language Semantic similarity is defined to calculate the similarity between natural languages.
CITATION STYLE
Yuan, A., & Gao, L. (2021). Research on the Application of NLP Artificial Intelligence Tools in University Natural Language Processing. In IOP Conference Series: Earth and Environmental Science (Vol. 714). IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/714/4/042018
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