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publicShareStarPractice 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 β 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