At present, most of the structured emergency case generation relies on the manual summary of relevant emergency management personnel which is labor intensive and inefficient. To solve this problem, this paper proposes an assisted generation method of emergency management structured case for natural text. The method uses natural language processing technology and some machine learning algorithms to automatically generate structured cases from common accident investigation reports. It reduces the dependence on the artificial when the structured cases are generated. Those generated structured cases are easy to manage and and has a clear structure, and they can be used in teaching and research, as well as for decision-making. Therefore, it has important practical significance and research significance.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
2019