An NLP algorithm that classifies messages and emails as spam or ham.

[Rohit-Sharma-RS]

Is your feature request related to a problem? Please describe. I’m always frustrated when important emails get lost among spam messages. The current filtering systems often misclassify legitimate messages as spam, causing me to miss critical information.

Describe the solution you'd like I would like an NLP algorithm that accurately classifies messages and emails as spam or ham (legitimate) based on various features such as content, sender reputation, and user behavior. This algorithm should use machine learning to continuously improve its accuracy and adapt to new spam techniques.

Describe alternatives you've considered I have considered using traditional rule-based filtering systems, but they often fail to adapt to evolving spam tactics. I’ve also looked into using existing third-party spam filters, but they can be overly aggressive or miss nuanced classifications. A custom NLP solution tailored to my specific needs would be more effective.

[fineanmol]

@Rohit-Sharma-RS Please Star ⭐️ the repo to earn 'hacktober-accepted' label for the event.\nMeanwhile, if you want to work on this issue, please raise a PR, and we will review and merge it.

[Rohit-Sharma-RS]

@fineanmol I did star the repo. And yes I would like to work on this issue.

[Rohit-Sharma-RS]

Hi! @fineanmol could you please assign this issue to me and add the hacktoberfest label