Natural Language Processing (NLP) Basics and Advanced Topics

Authors
Zhen (Richard) Tang, Sijun Wang
Region
North America
Topic
Information Systems
Inspirational Paradigm for Jesuit Business Education
Marketing & Sales
Length
107 pages
Keywords
natural language processing
NLP
Neural Network
Word Embeddings
coding
Student Price
$0.00
Target Audience
Graduate Students
Undergraduate Students

This module focuses on teaching students the rationale and mathematical foundation of advanced natural language processing (NLP) methods – the theory component.

This is one of two modules in a teaching package. The second module, which can be downloaded here, aims to help the students apply the NLP methods to real text datasets for business insights – the coding component.

Learning Outcomes
  • Understand Neural Network
  • Understand Convolutional Neural Network
  • Understand Word Embeddings
  • Apply Neural Network to Word Embeddings