Bully identification with machine learning algorithms

Abstract

The purpose of this paper is to identify the bullies via informed surveys, using data from students of colleges and schools and take the results to concerned authority or guardian and list out ways to eradicate it. This paper adopts data mining techniques of the concerned survey results and convert into knowledge. Following a five step process of Data Selection, Pre- Processing/Cleaning, Transformation, Data Mining and Inter- pretation/Evaluation. Along with this the paper utilizes three unique approaches, Internal Labelling, Synthetic Labelling and Data Programming. To identify these data patterns effectively, incorporation of data validation and classification using suitable Machine Learning algorithms is utilized.