Crowdsensing and analyzing micro-event tweets for public transportation insights

• Main Authors: HOANG, Thoong, CHER, Pei Hua (XU Peihua), PRASETYO, Philips Kokoh, LIM, Ee-Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Classification; Crowdsensing; Information extraction; Micro-events analysing; Sentiment analysis; Transportation; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3650; https://ink.library.smu.edu.sg/context/sis_research/article/4652/viewcontent/8._Dec02___Crowdsensing_and_Analyzing_Micro_Event_Tweets_for_Public_Transportation_Insights__IEEE_BigData_2016_.pdf
• Institution: Singapore Management University

Efficient and commuter friendly public transportation system is a critical part of a thriving and sustainable city. As cities experience fast growing resident population, their public transportation systems will have to cope with more demands for improvements. In this paper, we propose a crowdsensin...