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KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 6 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
NAACL
2003
13 years 7 months ago
Semantic Language Models for Topic Detection and Tracking
In this work, we present a new semantic language modeling approach to model news stories in the Topic Detection and Tracking (TDT) task. In the new approach, we build a unigram la...
Ramesh Nallapati
CICLING
2010
Springer
14 years 18 days ago
Towards Automatic Detection and Tracking of Topic Change
We present an approach for automatic detection of topic change. Our approach is based on the analysis of statistical features of topics in time-sliced corpora and their dynamics ov...
Florian Holz, Sven Teresniak
HICSS
2005
IEEE
125views Biometrics» more  HICSS 2005»
13 years 11 months ago
Taking Topic Detection From Evaluation to Practice
Abstract— The Topic Detection and Tracking (TDT) research community investigates information retrieval methods for organizing a constantly arriving stream of news articles by the...
James Allan, Stephen M. Harding, David Fisher, Alv...
ICWSM
2009
13 years 3 months ago
Event Detection and Tracking in Social Streams
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
Hassan Sayyadi, Matthew Hurst, Alexey Maykov