Attacks on Health Workers during COVID-19 Pandemic - Data Exploration and News Article Detection using NLP and GRU model

摘要: A major less spoken impact of COVID-19 is the irrational behavior from people. We are experiencing abnormal behaviour individuals all over world. It ranges “absurd conspiracy theories” to “panic buying tissue paper”. Likewise, one such example would be attack on health workers - front line defenders. An outrageous surge visible regarding attacks (e.g., doctors, nurses, security personnel) during pervasive. This kind unsocial unexpected and should prohibited. In this paper, we observe news articles related workers. explore data numerous direction inspect relationship between attack-news various aspects countries as literacy rate, GDP, etc. Furthermore, apply topic modeling in order find bag-of-words that describe best these sorts news. reveal masked-emotions within words through emotion lexicon. addition, a way detect instantly using Natural Language Processing (NLP) with help deep-learning techniques. Gated Recurrent Unit (GRU), deep learning model works for our purpose accuracy up 94%. Finally, an architecture proposed timely vigilance. Henceforth, believe solution will policy makers immensely design their strategies accordingly.