"Python Chinese Natural Language Processing Basics and Practical Combat" is the "14th Five-Year Plan" national planning textbook for vocational education, and a series of textbooks supporting the "1+X" vocational skill level certificate for big data application development (Python). This book takes projects as the carrier and highlights vocational skills. Adhere to the concept of integration of theory and reality. The integration of theory and practice is the integration of theory and practice. In the compilation of teaching materials, in accordance with national occupational standards and occupational skills appraisal standards, skill training is the core and theoretical knowledge is sufficient as the goal of talent training, skill training projects are the main line, and theoretical knowledge is integrated into practical training (skills training) according to the needs of practical training to form an integrated project module.
Python Chinese natural language processing basics and practical book introduction:
1. This book is the "14th Five-Year Plan" national planning textbook for vocational education. The content is in line with the "1+X" certificate system pilot work in the big data application development (Python) vocational skills advanced certificate assessment standards. The book combines theory with practice, focusing on the study of task cases.
2. This book adheres to the concept of integration of theory and practice (integration of theory and practice, that is, the integration of theory and practice). In the compilation of teaching materials, in accordance with national occupational standards and occupational skills appraisal standards, skill training is the core and theoretical knowledge is sufficient as the goal of talent training. Skill training projects are the main line, and theoretical knowledge is integrated into practical training (skill training) according to the needs of practical training to form an integrated project module.
3. By communicating with industry experts and technical backbones, analyzing typical job tasks of professional positions (groups), accurately docking professional standards, summarizing and integrating the related tasks and required skills that need to be completed in the natural language processing work, forming typical jobs that meet the requirements of completing the job (group) tasks, and then teaching and processing the typical jobs from easy to difficult, closely focusing on the requirements of the students' knowledge, ability, and quality in the course of "Natural Language Processing", and combining big data and artificial intelligence professional standards. The basic structural framework design of the integration of theory and practice textbooks is based on the law of growth and vocational skills training.
4. Four in one of case, theory, algorithm and program. The purpose of this book is always to cultivate readers' problem-solving ability. It arranges rich examples in each chapter, and also includes a series of algorithm models (n-gram model, hidden Markov model, Word2Vec representation, DM model, DBOW model, seq2seq model). Each algorithm provides detailed python code and comments, which is convenient for understanding the algorithm on a theoretical basis, helping readers understand the theory and algorithm of natural language processing more intuitively, and master the ability to use related technologies and algorithms to solve practical problems in this field.
5. Cases of ideological and political integration of courses. In the case selection, pay attention to the correct guidance of students’ three views, such as strengthening the cultivation of moral quality and legal literacy: by providing legal case databases, cultivate students’ awareness of intellectual property rights, improve students’ academic moral quality and legal literacy; through cases such as the development of HKUST Xunfei, it demonstrates China’s current booming natural language processing technology, and at the same time cultivates students’ patriotic feelings, national self-confidence and innovation awareness, and demonstrates “cultural confidence”; , The exploration spirit of bravely climbing the peak of science.
6. Complete resources, easy to learn: This book provides teachers and students with relevant learning and teaching resource books, including PPT for teaching, data sets and source codes of cases, answers to exercises, micro-lessons, etc.; each chapter is also equipped with a variety of exercises and cases, which is not only convenient for teachers to teach, but also helps readers consolidate the knowledge they have learned through these learning resources.
"Python Chinese Natural Language Processing Basics and Practical Combat" introduces the basic content of Python natural language processing in a simple way by combining common techniques of Python natural language processing with real cases. The book has 12 chapters in total, and all chapters include thinking and practice questions to help readers consolidate what they have learned through exercises and operational practices.
The book catalog of "Python Chinese Natural Language Processing Basics and Practice" includes:
Chapter 1 Introduction 1 Chapter
2 Corpus 20 Chapter 3
Regular Expression 48 Chapter 4
Chinese Word Segmentation Technology 61 Chapter
5 Part-of-Speech Tagging and Named Entity Recognition 92 Chapter 6 Keyword Extraction 116 Chapter
7
Text Vectorization 142
Chapter 8 Text Classification and Clustering 168
Chapter 9 Text Sentiment Analysis 188
Chapter 10 Deep Learning Technology in NLP 208 Chapter
11 Intelligent Question Answering System 253
Chapter 12 Recognition of Spam SMS Based on TipDM Data Mining Modeling Platform 280