Components

Module 1. NLP Basics and Advanced Topics
Self-guided Learning Path_ Application of Natural Language Processing (NLP) in Marketing
Example of Students' Team Project

Natural Language Processing (NLP) Basics and Advanced Topics

Zhen (Richard) Tang, Sijun Wang
January 26, 2023
SKU:
BUS-008927
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: 
Free
Average rating: 
0

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