《Table 1 DRRKS system online knowledge application list》

  提示：宽带有限、当前游客访问压缩模式

本系列图表出处文件名：随高清版一同展现

《防灾减灾知识服务系统及其应用研究》

1. 获取 高清版本忘记账户？点击这里登录

1. 下载图表忘记账户？点击这里登录

（2）Data pre-processing.The original Weibo texts contain interfering information such as hyperlinks，spaces，punctuation marks，hashtags，[email protected] filtering was thus necessary to eliminate noise and improve the efficiency of word segmentation.These types of interfering information were removed by regular expression operations（“re”module）in Python.Very short Weibo texts（less than four words）and duplicates were deleted.Word segmentation was necessary because there are no obvious separators between Chinese words.A Python package for Chinese text segmentation called“Jieba”was utilized.By building a user dictionary including keywords related to COVID-19，the package segmented words efficiently.