Application of artificial intelligence in big data mining and analysis in the field of Library and information

With the arrival of the big data era, library intelligence (graphic intelligence) is facing the challenges of the proliferation of information resources and the increase of management complexity. Artificial Intelligence (AI), as a powerful technical means, has been widely applied to big data mining and analysis in the field of graphic intelligence, improving the efficiency and accuracy of information retrieval, literature recommendation, data mining, knowledge discovery and so on. This paper discusses the application practice of artificial intelligence in the field of graph intelligence, focusing on the specific application of AI in information retrieval and recommendation system, data mining, sentiment analysis and other aspects. Through case studies, the paper demonstrates how AI can optimise access to academic resources through semantic search and personalised recommender systems, how it can be used to analyse academic research trends using big data, and how it can be used to monitor public opinion responses in academia through sentiment analysis. The study shows that the introduction of AI technology not only optimises the efficiency of resource management and analysis in the field of graphical intelligence, but also promotes the intelligent and personalised development of academic research. This paper points out that the combination of AI and big data will continue to drive innovation in the field of graph sentiment and provide more intelligent and personalised solutions for future research and applications.