Covers: implementation of Spam Detection
Estimated time needed to finish: 60 minutes
Questions this item addresses:
- How do you create and deploy a simple spam classifier?
How to use this item?
Clone the repo, try training the model, and try deploying it with Flask on Heroku.
Author(s) / creator(s) / reference(s)
Siddharth Oza
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Practice with Spam Detection
Contributors
- Objectives
- Provide an introduction to spam detection.
- Potential Use Cases
- People who want to practice sentiment analysis or spam detection.
- Who is This For ?
- BEGINNERNewcomers to natural language processing and text classification.
Click on each of the following annotated items to see details.
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
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