Research Article
Design of Network Public Opinion Information Intelligent Retrieval System Based on Wireless Network Technology
@INPROCEEDINGS{10.1007/978-3-030-94554-1_7, author={Quan-wei Sheng}, title={Design of Network Public Opinion Information Intelligent Retrieval System Based on Wireless Network Technology}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2022}, month={1}, keywords={Wireless network technology Network public opinion information Intelligence Retrieval system}, doi={10.1007/978-3-030-94554-1_7} }- Quan-wei Sheng
Year: 2022
Design of Network Public Opinion Information Intelligent Retrieval System Based on Wireless Network Technology
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-94554-1_7
Abstract
Wireless sensor routing protocol affects the retrieval work of the system. The traditional intelligent retrieval system of network public opinion information is difficult to obtain the event probability due to the selected technology, which leads to the weak ability of the system to retrieve massive data. This paper designs an intelligent retrieval system of network public opinion information based on wireless network technology. In terms of hardware, Lucene search engine architecture and rs323 bus circuit are designed; in terms of software design, network public opinion information similarity calculation model is designed, wireless sensor routing protocol is set based on wireless network technology, and network public opinion information intelligent retrieval logic is established. In the experiment, the amount of public opinion information to be retrieved is 100, 5000 and 100000 respectively. In the same test period, when the amount of network public opinion information to be retrieved is large, the retrieval system based on wireless network technology can obtain the target information, while the amount of target information obtained by traditional system is far less than expected.
