NLP Learning Repository

This repository contains demonstrations and exercises for learning Natural Language Processing concepts, focusing on word embeddings and text analysis.

Repository Structure

Demos

• embeddings.csv - CSV file containing word embedding data
• L2-Demo-1.ipynb - Lesson 2 Accessing Amazon Bedrock with Python
• L2-Demo-2.py - Lesson 2 Model conversation with Python
• L3-Demo-1.ipynb - Lesson 3 Creating Embeddings
• L3-Demo-2.ipynb - Lesson 3 Working with Embeddings
• L3-Demo-3.ipynb - Lesson 3 Embeddings for Document Retrieval

Exercises

• Lesson-2-e1.ipynb - Lesson 2 Exercise 1
• Lesson-2-e2.ipynb - Lesson 2 Exercise 2
• Lesson-3-e1.ipynb - Lesson 3 Exercise 1
• Lesson-3-e2.ipynb - Lesson 3 Exercise 2

Utils

• amazon.txt - Sample text data from Amazon
• Apollo13.txt - Sample text data from Apollo 13
• prepare_embeddings.py - Utility script for preparing word embeddings
• transcript.txt - Sample transcript data

Prerequisites

• Python 3.x
• Jupyter Notebook
• Required Python packages:
  • boto3