I have been working on my Journal synopsis this week and finalised. annotated bibiliography this week.
Journal Synopsis
This research paper presents a ‘Review on Machine Leaning Spam Classification Algorithms’. The main objective of this project is to identify the different types of Machine Learning(ML) algorithms that are used in spam detection, specifically in the mail spam classification field. A comprehensive analysis has been carried out using twelve different research articles. This study has identified different types of ML algorithms such as supervised, unsupervised, semi supervised and hybrid algorithms. Different types of approaches have been used by researchers to generate the proposed outcomes such as of the projects such as achieving higher accuracy, precision, facilitating new features or reducing the resource and time consumption of the projects. Spam detection and classification is a trending and important technique to focus nowadays because everyone uses emails and the frauds that are being carried out using spams are increasing every day. Having a proper understanding on the mechanisms that can be used in this field is the foundation to create a novel solution for this critical problem.