Constructing consumer profiles from social media data

Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013

Volumn , Issue , 2013, Pages 710-716

  Hernandez, Mauricio ^a   Hildrum, Kirsten ^b   Jain, Prateek ^b   Wagle, Rohit ^b   Alexe, Bogdan ^a   Krishnamurthy, Rajasekar ^a   Stanoi, Ioana Roxana ^a   Venkatramani, Chitra ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SOCIAL NETWORKING (ONLINE); TECHNOLOGY TRANSFER;

CONSUMER SEGMENTS; KEY-SEGMENT; PRODUCTS AND SERVICES; SOCIAL MEDIA; SOCIAL MEDIA DATUM;

BIG DATA;

EID: 84893300246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2013.6691641     Document Type: Conference Paper

References (14)

1. T. Rattenbury, N. Good, and M. Naaman, "Towards automatic extraction of event and place semantics from flickr tags," in Proceedings of 30th ACM SIGIR Conference, 2007, pp. 103-110.
2. A. Ritter, Mausam, O. Etzioni, and S. Clark, "Open domain event extraction from twitter," in Proceedings of the 18th ACM SIGKDD conference, 2012, pp. 1104-1112.
3. H. Becker, D. Iter, M. Naaman, and L. Gravano, "Identifying content for planned events across social media sites," in Proceedings of the fifth ACM Int'l. Conf. on WSDM, 2012, pp. 533-542.
4. B. Alexe, M. A. Hernandez, K. W. Hildrum, R. Krishnamurthy, G. Koutrika, M. Nagarajan, H. Roitman, M. Shmueli-Scheuer, I. R. Stanoi, C. Venkatramani, and R. Wagle, "Surfacing time-critical insights from social media," in Proceedings of the 2012 ACM SIGMOD Conference. New York, NY, USA: ACM, 2012, pp. 657-660.
5. L. Chiticariu, R. Krishnamurthy, Y. Li, S. Raghavan, F. Reiss, and S. Vaithyanathan, "Systemt: An algebraic approach to declarative information extraction." in ACL, 2010.
6. M. A. Herńandez, G. Koutrika, R. Krishnamurthy, L. Popa, and R. Wisnesky, "HIL: a high-level scripting language for entity integration," in EDBT, G. Guerrini and N. W. Paton, Eds. ACM, 2013, pp. 549-560.
7. A. Smith and J. Brenner, "Twitter use 2012," Pew Research Centers Internet and American Life Project, Washington DC, Tech. Rep., May 2012. [Online]. Available: http://pewinternet.org/Reports/2012/Twitter-Use-2012.aspx
8. R. Li, K. H. Lei, R. Khadiwala, and K. C.-C. Chang, "Tedas: A twitterbased event detection and analysis system," in Proceedings of the 28th IEEE International Conference on Data Engineering, 2012.
9. H. Becker, M. Naaman, and L. Gravano, "Learning similarity metrics for event identification in social media," in Proceedings of the third ACM Int'l. Conf. on WSDM, New York, NY, USA, 2010, pp. 291-300.
10. T. Sakaki, M. Okazaki, and Y. Matsuo, "Earthquake shakes twitter users: real-time event detection by social sensors," in Proceedings of the 19th Int'l. Conf. on WWW, 2010, pp. 851-860.
11. A.-M. Popescu, M. Pennacchiotti, and D. Paranjpe, "Extracting events and event descriptions from twitter," in Proceedings of the 20thInt'l. Conf. on WWW, 2011, pp. 105-106.
12. M. A. Hearst, "Automatic acquisition of hyponyms from large text corpora," in Proceedings of the 14th conference on Computational linguistics-Volume 2. Stroudsburg, PA, USA: Association for Computational Linguistics, 1992, pp. 539-545.
13. P. Jain, P. Hitzler, K. Verma, P. Z. Yeh, and A. P. Sheth, "Moving beyond sameas with plato: partonomy detection for linked data," in Proceedings of the 23rd ACM conference on Hypertext and Social Media, 2012, pp. 33-42.
14. R. Li, S. Wang, H. Deng, R. Wang, and K. C.-C. Chang, "Towards social user profiling: unified and discriminative influence model for inferring home locations," in KDD, 2012, pp. 1023-1031.