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» Topic Evolution in a Stream of Documents
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KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 5 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 2 months ago
Temporal patterns in social media streams: Theme discovery and evolution using joint analysis of content and context
Online social networking sites such as Flickr and Facebook provide a diverse range of functionalities that foster online communities to create and share media content. In particul...
Yu-Ru Lin, Hari Sundaram, Munmun De Choudhury, Ais...
ECIR
2006
Springer
13 years 6 months ago
Clustering-Based Searching and Navigation in an Online News Source
The growing amount of online news posted on the WWW demands new algorithms that support topic detection, search, and navigation of news documents. This work presents an algorithm f...
Simón C. Smith, M. Andrea Rodríguez
JCDL
2009
ACM
127views Education» more  JCDL 2009»
13 years 11 months ago
Finding topic trends in digital libraries
We propose a generative model based on latent Dirichlet allocation for mining distinct topics in document collections by integrating the temporal ordering of documents into the ge...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
ICML
2006
IEEE
14 years 5 months ago
Dynamic topic models
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
David M. Blei, John D. Lafferty