Filer Illud

Abstract

Data filtering in IT can refer to a wide range of strategies or solutions for refining data sets. In the current day world, most of the communication is done using a messenger platform, irrespective of it being professional or personal. These messenger platforms have their own notification procedures, which might cause distraction during work hours. Hence, using the concept of data filters and segregating messages that are related to both personal and professional spaces would allow one to centralize their current activities according to their will. In this research paper, we would like to propose a filtering app that would allow the users to prioritize the notifications they receive depending on the switch personal and professional space. We would implement this by using the concepts of text classification and deep learning algorithms like Naive Bayes Text Classifier.