A Review of Diverse Machine Learning Algorithms for Spam E-Mail and Text Detection

Mostly everything in this formal world is communicated mainly with the help of emails. But nowadays looking at growing popularity of emails, the amount of uninvited data such as spam emails, advertisements etc has also increased. To overcome this problem there are pre-existing techniques of data filtering and various algorithms in ML/DL which are capable of classifying and automatically detecting these types of unwanted spams. This paper does a survey on the research carried out in the domain of machine learning and deep learning techniques, data pre-processing, feature extraction and optimization methods over the years to improve overall performance of algorithms for filtering of these unwanted emails.