University AI Report: Natural Language Processing and Applications

This report provides a comprehensive overview of Natural Language Processing (NLP) within the field of Artificial Intelligence (AI). It begins by defining NLP and its significance, followed by a discussion of key issues such as ambiguity, syntax, synonymy, and coherence. The report then delves into the algorithms used in NLP, including vectors, Word2Vec, and dimensionality reduction techniques like Dimsum. Furthermore, it explores various applications of NLP, such as automation summarization, sentiment analysis, text classification, and question answering. The report concludes with a list of references for further study. The report is a student submission and is available on Desklib, a platform offering AI-powered study tools.