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» Predicting the volume of comments on online news stories
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CIKM
2009
Springer
13 years 11 months ago
Predicting the volume of comments on online news stories
On-line news agents provide commenting facilities for readers to express their views with regard to news stories. The number of user supplied comments on a news article may be ind...
Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
ECIR
2010
Springer
13 years 6 months ago
News Comments: Exploring, Modeling, and Online Prediction
Online news agents provide commenting facilities for their readers to express their opinions or sentiments with regards to news stories. The number of user supplied comments on a n...
Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
ICWSM
2009
13 years 2 months ago
Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to stu...
Elham Khabiri, Chiao-Fang Hsu, James Caverlee
ISI
2006
Springer
13 years 4 months ago
Tracing the Event Evolution of Terror Attacks from On-Line News
Since the September 11th terror attack at New York in 2001, the frequency of terror attacks around the world has been increasing and it draws more attention of the public. On Janua...
Christopher C. Yang, Xiaodong Shi, Chih-Ping Wei
CIKM
2004
Springer
13 years 10 months ago
Event threading within news topics
With the overwhelming volume of online news available today, there is an increasing need for automatic techniques to analyze and present news to the user in a meaningful and effi...
Ramesh Nallapati, Ao Feng, Fuchun Peng, James Alla...