Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion Mining

Author:

Puri Manish1,Du Xu2,Varde Aparna S.2,de Melo Gerard3

Affiliation:

1. Montclair State University, Monlclair , NJ, USA

2. Montclair State University, Montclair, NJ, USA

3. Rutgers University, Piscataway, NJ, USA

Funder

Department of Computer Science at Montclair State University

Environmental Management PhD Program at Montclair State University

ARO grant as part of the DARPA SocialSim Program

Publisher

ACM Press

Reference38 articles.

1. Christoph Böhm, Gerard de Melo, Felix Naumann, and Gerhard Weikum. 2012. LINDA: Distributed Web-of-Data-Scale Entity Matching. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Xue-wen Chen, Guy Lebanon, Haixun Wang, and Mohammed J. Zaki (Eds.). ACM, New York, NY, USA.

2. Zhu Cao, Linlin Wang, and Gerard de Melo. 2018. Link Prediction via Subgraph Embedding-Based Convex Matrix Completion. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI 2018). AAAI Press.

3. The New York City Council. 2018. Legislative Research Center Web Page. (2018). Retrieved March 4, 2018 from http://legistar.council.nyc.gov/

4. Gerard de Melo. 2013. Not Quite the Same: Identity Constraints for the Web of Linked Data. In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI 2013), Marie desJardins and Michael L. Littman (Eds.). AAAI Press, Menlo Park, CA, USA, 1092--1098. http://www.aaai.org/ocs/index.php/AAAI/AAAI13/paper/view/6491

5. Gerard de Melo. 2017. Multilingual Vector Representations of Words, Sentences, and Documents. In Proceedings of IJCNLP 2017. http://www.aclweb.org/anthology/I17--5002

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