万朱浩 / Venue-Ops

…he README documentation.

…sponse speed, support asynchronous writing, and automatically clean up expired data.

…rn, and provide comprehensive error handling and error messages, along with confidence level display.

…en the basic and improved models.

…the results have been integrated into the project.

Optimized the getEchartsData.py script, improving code efficiency and…

Removed unnecessary introduction and optimized the word cloud generation component. Added dynamic scheduling functionality to adjust crawler execution intervals based on crawl duration and data volume.

…ed on crawl duration and data volume.

Optimized the web scraping functionality to support multi-account crawling and enhance performance.

添加日志输出

优化 topicDefine.py 主题标签处理逻辑，提升性能与稳定性

主要针对 topicDefine.py 程序进行了优化，提升了其在处理文章和评论主题标签时的性能与稳定性。

The new practice sequence model to complete the public opinion prediction function.

Strengthen login security and prevent SQL injection issues

…ch significantly improves the modeling fitness.

In the original method, only linear regression is used to perform simple trend extrapolation, which leads to insufficient prediction accuracy. This optimization adopts time series model, and uses the auto_arima method of pmdarima to automatically select appropriate model parameters (including p, d, q and seasonal parameters) according to historical data. It significantly improves the suitability of the model in time series modeling. In this way, the model can better capture the trend and periodicity of the data, and predict the future heat more reasonable and accurate.