Detection of Hate or Offensive Phrase using Magnified Tf-Idf

The non-negotiable challenge that social media platforms are facing nowadays is the abundant presence of hate speeches in text messages. Thus, automatic hate speech detection becomes an important ethical concern and research should be carried out to overcome this challenge. In the present paper, we propose a tf-idf based binary classification framework that manipulates the scores obtained as the differences between hate and offensive (HOF) words and non-HOF (NOT) words. Employing this framework, we have achieved a Macro F1 score of 0.6813 and 0.6762 for the English and Hindi test datasets, respectively provided in subtask-1A of the HASOC 2021[13] shared task.