Covers: implementation of Spam Detection
Estimated time needed to finish: 20 minutes
Questions this item addresses:
  • How do you create a simple spam classifier?
How to use this item?

Read the article and try out the implementation.

Author(s) / creator(s) / reference(s)
Harika Epuri
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Practice With Spam Detection

Contributors
Total time needed: ~2 hours
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.
Resources4/4
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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