Event intensity tracking in weblog collections

Viet Ha-Thuc, Yelena Mejova, Christopher Harris, Padmini Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Event tracking is the task of discovering temporal patterns of events from text streams. Existing approaches for event tracking have two limitations: scalability and their inability to rule out non-relevant portions within texts in the stream 'relevant' to the event of interest. In this study, we propose a novel approach to tackle these limitations. To demonstrate our approach, we track news events across a collection of weblogs spanning a two-month time period. In particular we track variations in the intensity of discussion on a given event over time. We demonstrate that our model is capable of tracking both events and sub-events at a finer granularity. We also present in this paper our analysis of the blog dataset distributed by the conference organizers.

Original languageEnglish
Title of host publicationData Challenge Workshop - Papers from the 2009 ICWSM Workshop, Technical Report
Number of pages8
Publication statusPublished - 1 Dec 2009
Event2009 ICWSM Workshop - San Jose, CA, United States
Duration: 20 May 200920 May 2009

Publication series

NameAAAI Fall Symposium - Technical Report


Other2009 ICWSM Workshop
CountryUnited States
CitySan Jose, CA


ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ha-Thuc, V., Mejova, Y., Harris, C., & Srinivasan, P. (2009). Event intensity tracking in weblog collections. In Data Challenge Workshop - Papers from the 2009 ICWSM Workshop, Technical Report (pp. 24-31). (AAAI Fall Symposium - Technical Report; Vol. WS-09-01).