Introduction NLP

Introduction-NLP

Detailed notes on the new book "Introduction to Natural Language Processing" by HanLP author Mr. He Han! The work of conscience in the industry is not a boring formula list, but an easy-to-understand algorithm model explained in vernacular. Starting from the basic concepts, we will gradually introduce the algorithm principles and engineering implementation of several popular problems such as Chinese word segmentation, part-of-speech annotation, naming entity recognition, information extraction, text clustering, text classification, and syntactic analysis.

This project aims to help more fellow travelers quickly master the professional knowledge of NLP, clarify the key points of knowledge, and play a greater role in work. Focus on books, record my mental journey, summary and notes when I studied this book.

• Machine learning and deep learning, please go to my project: ML-NLP

• HanLP Project: HanLP

• For mind maps, please follow the AIArea official account and reply: NLP mind maps can download high-definition large images.

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Table of contents

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chapter
Chapter 1: Newbie on the road
Chapter 2: Dictionary Word Partition
Chapter 3: Binary Grammar and Chinese Word Partition
Chapter 4: Hidden Markov Model and Sequence Annotation
Chapter 5: Perceptron classification and sequence labeling
Chapter 6: Conditional Random Field and Sequence Annotation
Chapter 7: Part of speech annotation
Chapter 8: Named Entity Recognition
Chapter 9: Information Extraction
Chapter 10: Text Clustering
Chapter 11: Text Classification
Chapter 12: Dependence Syntax Analysis
Chapter 13: Deep Learning and Natural Language Processing