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Spam Email Classifier with Voice Notes

EasyChair Preprint no. 8183

4 pagesDate: June 4, 2022


A large portion of the population nowadays relies on readily available email or texts from strangers. Because anyone can send an email or leave a note, spammers have a perfect opportunity to write spam messages concerning our various interests. Spam clogs up your inbox with a barrage of absurd emails. Degrades our internet speed significantly. Takes vital information, such as our contact information from our contact list. Identifying these spammers, as well as the spam content, maybe a time-consuming and difficult operation. Spam email is a method of sending messages in mass through email. Because the recipient bears the majority of the cost of the spam, it is postage owing to advertising. Spam email has become a type of business communication.

Keyphrases: machine learning, Naïve Bayes, NumPy., Pandas, python frame, Sci-Kit Learn

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {N Pavitha and Darshan Bachhav and Amrut Bhagwat and Ankit Singh and Aditya Kirar},
  title = {Spam Email Classifier with Voice Notes},
  howpublished = {EasyChair Preprint no. 8183},

  year = {EasyChair, 2022}}
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