数据科学与管理（英文）2025，Vol.8Issue(4)：458-473,16.DOI:10.1016/j.dsm.2025.04.001
Public sentiment analysis of roadway work zones using social media data and machine learning models
Public sentiment analysis of roadway work zones using social media data and machine learning models
Md Abu Sayed 1Md Amjad Hossain 2Md Mokhlesur Rahman 3G.G.Md.Nawaz Ali 4Mohammad Anwarul Islam 5Kamal Chandra Paul 6Xiao Qin7
作者信息
- 1. Wisconsin Department of Transportation,Waukesha,WI 53188,USA
- 2. TSYS School of Computer Science,Columbus State University,Columbus,GA 31907,USA
- 3. Department of Transportation,Baltimore Metropolitan Council,Baltimore,MD 21230,USA
- 4. Department of Computer Science&Information Systems,Bradley University,Peoria,IL 61625,USA
- 5. Health Science Center,University of Oklahoma,Oklahoma City,OK 73104,USA
- 6. William States Lee College of Engineering,University of North Carolina at Charlotte,Charlotte,NC 28223,USA
- 7. The Institute for Physical Infrastructure and Transportation,University of Wisconsin-Milwaukee,Milwaukee,WI 53211,USA
- 折叠
摘要
关键词
Roadway work zone/Tweet"X"threads/Machine learning/Public sentiment/CrashesKey words
Roadway work zone/Tweet"X"threads/Machine learning/Public sentiment/Crashes引用本文复制引用
Md Abu Sayed,Md Amjad Hossain,Md Mokhlesur Rahman,G.G.Md.Nawaz Ali,Mohammad Anwarul Islam,Kamal Chandra Paul,Xiao Qin..Public sentiment analysis of roadway work zones using social media data and machine learning models[J].数据科学与管理（英文）,2025,8(4):458-473,16.
