yunwei37/COVID-19-NLP-vis
使用 flask + pyecharts 搭建的新冠肺炎疫情数据可视化交互分析网站平台,包含疫情数据获取、每日疫情地图、曲线图展示,数据统计分析、态势感知、确诊人数预测分析算法设计、NLP舆情监测等任务(部署在http://covid.yunwei123.tech/)
This project helps public health officials, epidemiologists, or policy analysts quickly understand and visualize COVID-19 trends and public sentiment. It takes raw epidemic data and social media posts, then processes them into interactive maps, trend lines, and sentiment analysis reports. The output provides insights into disease spread, predicted outbreaks, and public opinion dynamics related to the pandemic.
336 stars. No commits in the last 6 months.
Use this if you need an interactive platform to monitor COVID-19 data, predict future trends, and analyze social media sentiment to inform public health strategies.
Not ideal if you need to analyze highly sensitive individual patient data or require real-time, minute-by-minute updates for emergency response, as this focuses on broader trends and historical data.
Stars
336
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68
Language
HTML
License
MIT
Category
Last pushed
Oct 30, 2022
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