Learning Notes for《Natural Language Processing Fundamentals》

1. Profiles

Title	Natural Language Processing Fundamentals [buy]
Author	Sohom Ghosh , Dwight Gunning
Publication	Packt, 2019.3
Pages	374

Introduction

If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.

You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots.

By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language.

2. Outlines

Status available：:heavy_check_mark: (Completed) | :hourglass_flowing_sand: (Working) | :no_entry: (Not Started) | :orange_book: (Read)

No.	Chapter Title	Status
Ch00	Preface	✔️
Ch01	Introduction to Natural Language Processing	✔️
Ch02	Basic Feature Extraction Methods	⏳
Ch03	Developing a Text classifier	⛔
Ch04	Collecting Text Data from the Web	⛔
Ch05	Topic Modeling	⛔
Ch06	Text Summarization and Text Generation	⛔
Ch07	Vector Representation	⛔
Ch08	Sentiment Analysis	⛔

Powershell script for generating markdown files in batch (deprecated):

# Create 8 empty markdown files named Ch##.md:
for($i=1; $i -le 8; $i=$i+1){ New-Item -Name "Ch$('{0:d2}' -f $i).md"; }

For more entailed learning notes (grouping related section note files into different chapter folders) generation script was written in Python, see notes/generate_files.py.