Description
This book gives a comprehensive introduction to natural language processing (NLP) and its applications, covering the topics of multimodal data processing, Chinese word segmentation, new word discovery, named entity recognition, keyword analysis, and knowledge graph construction in terms of semantic analysis.
The inaugural chapter provides an overview of NLP, and the subsequent chapters delve into the foundations of artificial intelligence, covering traditional deep learning algorithms and platforms. The book then evolves to showcase the latest advancements in deep learning, addressing bottlenecks and unfolding developments from data-oriented, training-oriented, and application-oriented perspectives. Part II of the book navigates the practical applications of intelligent language processing. From web crawlers and multi-format document parsing to speech text recognition, readers gain insights into real-world scenarios. Each chapter provides examples and analyses, empowering readers to bridge theoretical knowledge with hands-on application, unlocking the transformative potential of AI through intelligent language processing.
This book serves as a comprehensive resource for researchers, graduate students, and undergraduates in the field of natural language processing. Additionally, it offers valuable insights as a reference for engineers, technicians, and enthusiasts interested in the realm of big data intelligence.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.
Table of Contents
Chapter 1: Natural Language Processing and its Applications.- Chapter 2: Traditional Deep Learning Algorithms and Platforms.- Chapter 3 Advances and Trends in Deep Learning.- Chapter 4: Pre-training Models.- Chapter 5: Web Crawlers.- Chapter 6 Multi-format Document Parsing and Management.- Chapter 7 Speech Text Recognition.
