Temporal Ordinance Mining for Event-Driven Social Media Reaction Analytics

Author:

Varde Aparna S.1ORCID,De Melo Gerard2ORCID,Dong Boxiang3ORCID

Affiliation:

1. Dept. of Computer Science; Clean Energy & Sustainability Analytics Center, Montclair State University, USA

2. AI & Intelligent Systems, HPI, University of Potsdam, Germany

3. Dept. of Computer Science, Montclair State University, USA

Funder

National Science Foundation

Publisher

ACM

Reference28 articles.

1. O. Alonso, J. Strötgen, R. Baeza-Yates, and M. Gertz. 2011. Temporal Information Retrieval: Challenges and Opportunities. In WWW Workshop on Linked Data on the Web, Vol. 813. 1–8.

2. Potential and relevance of urban mining in the context of sustainable cities. IIMB management review;Arora R.;Elsevier,2017

3. K. Berberich S. J Bedathur M. Sozio and G. Weikum. 2009. Bridging the Terminology Gap in Web Archive Search.. In ACM WebDB.

4. A. Bosselut and Y. Choi. 2021. Dynamic knowledge graph construction for zero-shot commonsense question answering. In AAAI. 4923–4931.

5. X. Dong, T. Kumar Saha, K. Zhang, J. Tetreault, A. Jaimes, and G. de Melo. 2022. Temporal Event Reasoning using Multi-Source Auxiliary Learning Objectives. In ECIR. Springer-Verlag, 102–110.

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1. Report on the 13th Workshop on Temporal Web Analytics (TempWeb 2023) at WWW 2023;ACM SIGIR Forum;2023-12

2. Enhanced CatBoost with Stacking Features for Social Media Prediction;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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