Spam Email Classification by Deep Learning
Chinmayee Sai, Joanna Natalie. R, Likitha Lingaraju, Neha Y.S, Shoaib Kamal, Trupthi Rao · 2023
Spam emails are a certain kind of email that are utilized extensively for daily chores and crucial communication at all levels of an organization. Emailing has accelerated economic development by raising international activity to a new level. Email protocols like SMTP and POP are prone to manipulation because they are so widely used and accessible. The presence of spam emails has an impact on the entire organization. To categorize emails as spam or ham, we used three separate research-based techniques and classification strategies. Tokenizer was modified to reduce the text's size to small bits, and encoder was used to turn our sequence of text into a 1D array. In order to achieve an accuracy of 97 percent, we next pad all the sequences to the same size. Finally, we implement RNN for deep learning using the spam base dataset.