A Novel NLP based UNet classifier for detection of spam email
Keywords:
Spam detection, NLP, detection, identification, spam classificationAbstract
In the era of internet, emails have become the part of parcel of every type of digital communication. Lots of email communication is happening in day-to-day basis be it a personal communication, business communication or any official communication. Spam mails are becoming more irritating factors which requires a lot of filtering before any mail must be read. There are many NLP based techniques to classify spam mails from unspam ones. Many Deep learning-based algorithms have also been worked by researchers. The proposed work is the UNet based novel method which classifies the spam mails. The accuracy of classification is around 97% and better than other classical approaches.
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Copyright (c) 2022 Nagashree N, Bhulaxmi D, Akshay
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
CC Attribution-NonCommercial-NoDerivatives 4.0
