Tremendous volumes of messages on social media platforms provide supplementary traffic information and encapsulate crowd wisdom for solving transportation problems.However, social media messages manifested in human languages are usually characterized with redundant, fuzzy and subjective features.Here, we develop a data fusion framework to identify