Author/Authors :
Rao, A Srinivasa Department of CSE - Dhanekula Institute of Engineering & Technology, Vijayawada, India , Viswanathan Krishna, Brahmadesam Department of CSE - Rajalakshmi Engineering College, Chennai, India , Saravanan, D. Department of CSE - IFET Colleg of Engineering, Villupuram, India , Beulah David, D. Department of CSE - Jeppiaar Engineering College, Chennai, India , Devi, O Rama Department of CSE - Lakireddy Bali Reddy College of Engineering, Mylavaram, India , Asokan, Anju Department of ECE - Sri Krishna College of Technology, Coimbatore, India , David, D Stalin Department of CSE - IFET Colleg of Engineering, Villupuram, India
Abstract :
The community's rise, public opinion network's popularity, and emergency personnel's advancement have changed drastically. Individuals can now go online from any place and through communications systems to share their opinions and attitudes more efficiently and more often. As illustrated by the preceeding network approach, public sentiment on neural networks and IoT is critical for the public sector, the public interest, and a special event in an emergency (IoT). In terms of data security and anonymity, the proposed program is not safe and has environmental problems. Network public opinion's approach is based on FPGAs and machine education. FPGAs (Field Programmable Gate Array) Instant perspectives, possible future themes, knowledge exchange, excellent content and Team variance are used to build machine learning. In this popular sentiment network, several disasters have seriously threatened the security of our community. Public views on disaster networks in all type of internet media, such as internet news, blogs and webpages, are inextricably connected with society. This plays into unprecedented stress the ability of the government to deal with crises and their consequences.
