Clustering analysis on network public opinion in Shunyi District of Beijing based on LDA algorithm
Yao Kang, Mingxiang Shi, Lingling Zhao, Sijie Zhang · 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022) · 2022
With increasing growth of the Internet and rapid development of search engine technology, people can transmit or acquire all kinds of information that happens all the time on a variety of social media and network platforms. The network information management departments of local governments attach great importance to these online public opinions which have a certain impact on the society. The crawling of network public opinion information in Shunyi District of Beijing from Weibo is taken as an example and analyzed in this Paper for final focuses on livelihood concerns and providing reference for the situation awareness of public opinion in Shunyi District by clustering analysis on public opinion with the LDA text clustering algorithm and determination of topic characteristics of each category of public opinions.