Surfacing time-critical insights from social media

Authors:
Bogdan Alexe;Mauricio A. Hernandez;Kirsten W. Hildrum;Rajasekar Krishnamurthy;Georgia Koutrika;Meenakshi Nagarajan;Haggai Roitman;Michal Shmueli-Scheuer;Ioana R. Stanoi;Chitra Venkatramani;Rohit Wagle
Affiliations:
IBM Research - Almaden, San Jose, CA, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Research - T.J. Watson, Hawthorne, NY, NY, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Research - Almaden, San Jose, CA, USA;IBM Research - Haifa, Haifa, Israel;IBM Research - Haifa, Haifa, Israel;IBM Research - Almaden, San Jose, CA, USA;IBM Research - T.J. Watson, Hawthorne, NY, USA;IBM Research - T.J. Watson, Hawthorne, NY, USA
Venue:
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Year:
2012

Citing 6
Cited 1

Characterizing debate performance via aggregated twitter sentiment

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Time is of the essence: improving recency ranking using Twitter data

Proceedings of the 19th international conference on World wide web
Earthquake shakes Twitter users: real-time event detection by social sensors

Proceedings of the 19th international conference on World wide web
TwitterMonitor: trend detection over the twitter stream

Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Tweets as data: demonstration of TweeQL and Twitinfo

Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
The SystemT IDE: an integrated development environment for information extraction rules

Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

A statistical approach to mining customers' conversational data from social media

IBM Journal of Research and Development

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose to demonstrate an end-to-end framework for leveraging time-sensitive and critical social media information for businesses. More specifically, we focus on identifying, structuring, integrating, and exposing timely insights that are essential to marketing services and monitoring reputation over social media. Our system includes components for information extraction from text, entity resolution and integration, analytics, and a user interface.