摘要
Abstract
With the rapid development of new quality productive forces and the digital economy,China's"low-altitude economy"industry is experiencing swift growth,accompanied by increasingly prominent public opinion risks and a widening information gap between industrial development and public perception.Weibo data,characterized by real-time interactivity and openness,contain substantial commercial value and social insight potential within their user behavior data.However,the outbreak of negative sentiment can influence public perception of the low-altitude economy and constrain its development,making the monitoring of public opinion on Weibo highly significant.Currently,sentiment analysis targeting the low-altitude economy remains insufficient,preventing relevant departments from rapidly identifying potential risks and taking timely governance measures.To address these challenges,this paper designs a Python-based visualization system for Weibo post data that crawls,processes,and analyzes content related to the low-altitude economy,including relevant topics and hot events.The system provides market demand insights and competitive product dynamic monitoring for low-altitude economy enterprises,tracks communication paths,popularity trends,and sentiment tendencies,and offers public opinion monitoring and decision-making references for regulatory authorities,thereby promoting the healthy development of the low-altitude industry.关键词
低空经济/微博帖子/可视化/数据分析/系统设计Key words
low-altitude economy/Weibo posts/visualization/data analysis/system design分类
信息技术与安全科学
