The Natural Language Processing Workshop
Rohan Chopra Aniruddha M. Godbole Nipun Sadvilkar Muzaffar Bashir Shah Sohom Ghosh Dwight Gunning更新时间：2021-06-11 18:39:41
最新章节：8. Sentiment Analysis封面
版权信息
Preface
1. Introduction to Natural Language Processing
Introduction
History of NLP
Text Analytics and NLP
Various Steps in NLP
Word Sense Disambiguation
Sentence Boundary Detection
Kick Starting an NLP Project
Summary
2. Feature Extraction Methods
Introduction
Types of Data
Cleaning Text Data
Feature Extraction from Texts
Finding Text Similarity – Application of Feature Extraction
Summary
3. Developing a Text Classifier
Introduction
Machine Learning
Supervised Learning
Developing a Text Classifier
Building Pipelines for NLP Projects
Saving and Loading Models
Summary
4. Collecting Text Data with Web Scraping and APIs
Introduction
Collecting Data by Scraping Web Pages
Dealing with Semi-Structured Data
Summary
5. Topic Modeling
Introduction
Topic Discovery
Topic-Modeling Algorithms
Key Input Parameters for LSA Topic Modeling
Hierarchical Dirichlet Process (HDP)
Summary
6. Vector Representation
Introduction
What Is a Vector?
Summary
7. Text Generation and Summarization
Introduction
Generating Text with Markov Chains
Text Summarization
Key Input Parameters for TextRank
Recent Developments in Text Generation and Summarization
Practical Challenges in Extractive Summarization
Summary
8. Sentiment Analysis
Introduction
Tools Used for Sentiment Analysis
The textblob library
Understanding Data for Sentiment Analysis
Training Sentiment Models
Summary
Appendix
1. Introduction to Natural Language Processing
2. Feature Extraction Methods
3. Developing a Text Classifier
4. Collecting Text Data with Web Scraping and APIs
5. Topic Modeling
6. Vector Representation
7. Text Generation and Summarization
8. Sentiment Analysis
更新时间：2021-06-11 18:39:41