Event Intensity Tracking in Weblog Collections

author: Yelena Mejova, Yahoo! Research Barcelona
published: June 24, 2009,   recorded: May 2009,   views: 3215

See Also:

Download slides icon Download slides: icwsm09_mejova_eitwc_01.ppt (2.1 MB)

Help icon Streaming Video Help

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography


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.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: