Surfacing Time-critical Insights from Social Media
Summary: End-to-end framework for time-critical social media insights for business. Core components: information extraction, entity resolution and integration, analytics, and UI to surface timely marketing and reputation signals. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Bogdan Alexe (IBM)
- 2. Mauricio A. Hernandez (IBM)
- 3. Kirsten W. Hildrum (IBM)
- 4. Rajasekar Krishnamurthy (IBM)
- 5. Georgia Koutrika (IBM)
- 6. Meenakshi Nagarajan (IBM)
- 7. Haggai Roitman (IBM)
- 8. Michal Shmueli-Scheuer (IBM)
- 9. Ioana R. Stanoi (IBM)
- 10. Chitra Venkatramani (IBM)
- 11. Rohit Wagle (IBM)
BibTeX Citation
@inproceedings{alexe_sigmod12,
title = {{Surfacing Time-critical Insights from Social Media}},
author = {Alexe, Bogdan and Hernandez, Mauricio A. and Hildrum, Kirsten W. and Krishnamurthy, Rajasekar and Koutrika, Georgia and Nagarajan, Meenakshi and Roitman, Haggai and Shmueli-Scheuer, Michal and Stanoi, Ioana R. and Venkatramani, Chitra and Wagle, Rohit},
series = {{SIGMOD} '12},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2213836.2213925},
url = {https://dl.acm.org/doi/10.1145/2213836.2213925},
year = {2012}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,021 | Jaql: A Scripting Language for Large Scale Semistructured Data Analysis | 2011 | VLDB | 0.00012606673 |
| 1,439 | TwitterMonitor: Trend Detection over the Twitter Stream | 2010 | SIGMOD | 0.00010778916 |
| 5,367 | Tweets as Data: Demonstration of TweeQL and TwitInfo | 2011 | SIGMOD | 6.2448491e-05 |
| 13,690 | The SystemT IDE: An Integrated Development Environment for Information Extraction Rules | 2011 | SIGMOD | - |
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