Recipe
publicShareStar

Practice with Spam Detection

Collaborators
Reviewers
Total time needed: ~2 hours
Learning Objectives
Provide an introduction to spam detection.
Potential Use Cases
People who want to practice sentiment analysis or spam detection.
Target Audience
BEGINNERNewcomers to natural language processing and text classification.
Go through the following annotated items in order:
ARTICLE 1. Spam or Ham: Introduction to Natural Language Processing Part 2
  • How do you create a simple spam classifier?
20 minutes
ARTICLE 2. Spam Detection — NLP Text Classification
  • How do you create a simple spam classifier?
20 minutes
ARTICLE 3. Using Natural Language Processing for Spam Detection in Emails
  • How do you create a simple spam classifier?
20 minutes
REPO 4. NLP Model in Python & Deployed in Flask
  • How do you create and deploy a simple spam classifier?
60 minutes

Concepts Covered