An empirical study on uncertainty identification in social media context

• Main Authors: WEI, Zhongyu, CHEN, Junwen, GAO, Wei, LI, Binyang, ZHOU, Lanjun, HE, Yulan, WONG, Kam-Fai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: .; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4584; https://ink.library.smu.edu.sg/context/sis_research/article/5587/viewcontent/P13_2011.pdf
• Institution: Singapore Management University

Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in soc...