HATE SPEECH DETECTION FROM SOCIAL MEDIA USING ONE DIMENSIONAL CNN COUPLED WITH GLOBAL VECTOR

Abstract: Hate speech is used to hurt someone or a community by spreading it over social media platforms. Every day users scroll through the posts on social media and like, comment, and share these posts. But before commenting, they generally don’t think about whether it is going to hurt someone or a group of people or not. Sometimes this happens intentionally and sometimes unintentionally. But the effect of it is unchangeable. It can’t be stopped from happening, but this can be detected whether it is actually intended to hurt or spread hatred within society. This research article easily detects whether it is hate speech or not by going through the comments collected over time using 1 Dimensional Convolutional Neural Network (1D-CNN) coupled with 840 Billion Global Vector (GloVe) classifier.