Analysis of the Domestic Development Trend in the Field of Natural Language Processing
Natural Language Processing(NLP)is essential for understanding how machines interact with human language.Through an in-depth analysis of the literature from 2000 to 2023,combined with bibliometric visualization tools such as CiteSpace,this paper comprehensively discusses the development trend,key technologies and research hotspots of NLP in China.The results show that Deep Learning,Artificial Intelligence,Machine Learning and other technologies occupy the core position in the field of NLP,promoting the progress of natural language understanding,generation and interpretation.Construction of knowledge graph,text classification,sentiment analysis and other research directions have become research hotspots,showing the application potential in information retrieval and content analysis.The exploration of multimodal information fusion,interpretability of natural language generation,and cross-language NLP technology will open up a new path for the further development of NLP.
Natural Language Processingdevelopment trendbiblioitricsCiteSpaceKnowledge Graph
国家科技期刊平台
NSTL
万方数据
