Title: A smart urban management information public opinion analysis system
Authors: Guanlin Chen; Rutao Yao; Gang Chen; Jie Chen; Tian Li
Addresses: School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China; School of Computer, Zhejiang University, Hangzhou, 310027, China ' School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China; School of Computer, Zhejiang University, Hangzhou, 310027, China ' City Cloud Technology (China) Co., Ltd., Hangzhou, 310000, China ' City Cloud Technology (China) Co., Ltd., Hangzhou, 310000, China ' School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China
Abstract: With the continuous development of the times, urban population keeps increasing, the difficulty of urban management has become higher and higher. Today is an information age, and the internet is flooded with information. If the information can be used, the public opinions of urban residents can be grasped through this information, then problems can be perceived in advance and resolved early. In this paper, we proposed a smart urban management information public opinion analysis system. This system uses Oracle to provide database support, combined with natural language processing technology, aims to create a complete system includes achieve information collection, text analysis of information and final data display, which could contribute to the creation of a smart city
Keywords: text analysis; public opinion; Oracle; natural language processing.
International Journal of Security and Networks, 2021 Vol.16 No.2, pp.92 - 97
Received: 01 Oct 2020
Accepted: 03 Oct 2020
Published online: 02 Aug 2021 *