NLP-Spam-Ham-Classifier and Automated-Spam-Mail-Detection-and-Flask-Deployment

Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 13/25
Stars: 8
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About NLP-Spam-Ham-Classifier

Sk70249/NLP-Spam-Ham-Classifier

A Machine learning classifier to predict whether the SMS is Spam or Ham by using Natural Language Processing(NLP)

This tool helps you automatically sort incoming text messages (SMS) into two categories: spam or legitimate ('ham'). You provide a list of text messages, and it processes them to tell you which ones are junk and which are important. This is ideal for anyone who needs to filter a high volume of SMS communications, such as customer service teams, marketers, or personal users overwhelmed by unwanted messages.

SMS filtering Spam detection Customer communication Content moderation Message classification

About Automated-Spam-Mail-Detection-and-Flask-Deployment

imsanjoykb/Automated-Spam-Mail-Detection-and-Flask-Deployment

This is an simple NLP project in which the model is able to predict the incoming mail whether it is spam or not spam(ham). As we seen in gmail automatically the mail is classified and stored in spam or inbox so this project is prototype.

Scores updated daily from GitHub, PyPI, and npm data. How scores work