Document Type
Postprint
Publication Date
7-2-2018
Journal / Book Title
Proceedings 2018 IEEE International Conference on Big Data Big Data 2018
Abstract
This paper proposes an approach called TOLCS (Tweet Ordinance Linkage by Commonsense and Semantics) which helps connect specific ordinances or local laws to pertinent tweets expressing public reactions on them. TOLCS incorporates pragmatic aspects by commonsense knowledge, and semantic aspects by domain knowledge along with text similarity methods. It uses a blocking mechanism to reduce sample space for efficiently processing big data on ordinances and tweets.
DOI
10.1109/BigData.2018.8622162
Montclair State University Digital Commons Citation
Puri, Manish; Varde, Aparna S.; and Dong, Boxiang, "Pragmatics and Semantics to Connect Specific Local Laws with Public Reactions" (2018). Department of Computer Science Faculty Scholarship and Creative Works. 666.
https://digitalcommons.montclair.edu/compusci-facpubs/666