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INTRODUCTION

Natural Language Processing: A Primer
NLP Pipeline

Preprocessing

Text Preprocessing

Text Vectorization

Text Vectorization Using Traditional Methods

Machine Learning Basics

Machine Learning: Overview
Machine Learning: A Simple Example
Classification Models

Machine-Learning NLP

Common NLP Tasks
Sentiment Analysis Using Bag-of-Words
Emsemble Learning
Topic Modeling: A Naive Example

Deep Learning NLP

Neural Network From Scratch
Deep Learning: A Simple Example
Deep Learning: Sentiment Analysis

Neural Language Model and Embeddings

Sequence Models Intuition
Neural Language Model: A Start
Word Embeddings

Sequence Models, Attention, Transformers

Attention and Transformers: Intuitions
Sequence Model with Attention for Addition Learning
Sentiment Classification with Transformer (Self-Study)

LLM

Large Language Model (Under Construction…)
Langchain: An Introduction
LangChain Application: YouTube Summary

Exercises

1. Assignment I: Python Basics
2. Assignment II: Preprocessing
3. Assignment III: Chinese Language Processing
4. Assignment IV: Text Vectorization
5. Assignment V: Machine Learning
6. Assignment VI: Topic Modeling
7. Assignment VII: Deep Learning
8. Assignment VIII: Sentiment Analysis Using Deep Learning
9. Assignment IV: Neural Language Model

Exams

Final Exam

Index

By Alvin Cheng-Hsien Chen

© Copyright 2023 Alvin Chen.