AI-Accelerated Product Development
...
ARTICLE
Using Natural Language Processing for Spam Detection in Emails
Star
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.
URL:
https://lionbridge.ai/articles/using-natural-language-processing-for-spam-detection-in-emails/
Author(s) / creator(s) / reference(s)
Ramya Vidiyala
0
comment
Recipe
public
Share
Star
0
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 ?
BEGINNER
Newcomers to natural language processing and text classification.
Hide details
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
0
comment