Abusive and Hate Speech Tweets Detection with Text Generation
Abhishek Nalamothu · CORE Scholar (Wright State University) · 2019
Abusive and Hate Speech Tweets Detection with Text Generation.According to a Pew Research study, 41% of Americans have personally experienced online harassment and two-thirds of Americans have witnessed harassment in 2017.Hence, online harassment detection is vital for securing and sustaining the popularity and viability of online social networks.Machine learning techniques play a crucial role in automatic harassment detection.One of the challenges of using supervised approaches is training Guru (Teacher) = "GU" means darkness, "RU" means dispeller.Thanks to all my Gurus (Advisor and committee).Firstly, I would like to express my sincere gratitude to my thesis advisor Dr. Amit P. Sheth for his continuous support, patience, motivation, and immense knowledge.His guidance helped me in all the time of research.I could not have imagined having a better advisor for my thesis study.Also, I would like to convey my sincere gratitude to the rest of my thesis committee: Dr. Keke