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» Topic Detection by Clustering Keywords
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IEEECIT
2009
IEEE
14 years 3 months ago
Describing Web Topics Meticulously through Word Graph Analysis
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative wo...
Bai Sun, Lei Shi, Liang Kong, Yan Zhang
SIGIR
2002
ACM
13 years 8 months ago
A critical examination of TDT's cost function
Topic Detection and Tracking (TDT) tasks are evaluated using a cost function. The standard TDT cost function assumes a constant probability of relevance P(rel) across all topics. ...
R. Manmatha, Ao Feng, James Allan
CIKM
2011
Springer
12 years 9 months ago
Emerging topic detection using dictionary learning
Streaming user-generated content in the form of blogs, microblogs, forums, and multimedia sharing sites, provides a rich source of data from which invaluable information and insig...
Shiva Prasad Kasiviswanathan, Prem Melville, Arind...
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 9 months ago
Navigating multilingual news collections using automatically extracted information
We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
CEAS
2005
Springer
14 years 2 months ago
Automatic Discovery of Personal Topics to Organize Email
We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike previous work, we automatically label topics using appro...
Arun C. Surendran, John C. Platt, Erin Renshaw