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Dynamic topic model

Dynamic topic models are generative models that can be used to analyze the evolution of (unobserved) topics of a collection of documents over time… 
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Papers overview

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2015
2015
This paper addresses text categorization problem that training data may derive from a different time period from the test data… 
2015
2015
An innovative Supervised Dynamic Topic Model(S-DTM) is developed for overcoming the limitation of tranditional topic models. S… 
Review
2015
Review
2015
Microblogging platforms make it easy for users to share information through the publication of short personal messages. However… 
2015
2015
Information extraction from large corpora can be a useful tool for many applications in industry and academia. For instance… 
2015
2015
A series of events generates multiple types of time series data, such as numeric and text data over time, and the variations of… 
2013
2013
Research on learning analytics and educational data mining has been published since the rst conference on Educational Data Mining… 
2013
2013
Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications… 
2012
2012
Everyday millions of blogs and micro-blogs are posted on the Internet These posts usually come with useful metadata, such as tags… 
2010
2010
In t opic t racking, a topic is usually described by several stories. How to represent a topic is always an issue and a difficult… 
2010
2010
Topic tracking is to monitor a stream of stories to find additional stories on a topic identified by several samples. However…