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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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Generative model
Gibbs sampling
Latent Dirichlet allocation
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Temporal-based feature selection and transfer learning for text categorization
Fumiyo Fukumoto
,
Yoshimi Suzuki
International Joint Conference on Knowledge…
2015
Corpus ID: 5059877
This paper addresses text categorization problem that training data may derive from a different time period from the test data…
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2015
2015
A Supervised Dynamic Topic Model
Jiang Zhuore
2015
Corpus ID: 63090182
An innovative Supervised Dynamic Topic Model(S-DTM) is developed for overcoming the limitation of tranditional topic models. S…
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Review
2015
Review
2015
How to Stay Up-To-Date on Twitter With General Keywords
Mandy Roick
,
Maximilian Jenders
,
Ralf Krestel
LWA
2015
Corpus ID: 1260068
Microblogging platforms make it easy for users to share information through the publication of short personal messages. However…
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2015
2015
Time Dynamic Topic Models
P. Jähnichen
2015
Corpus ID: 63639266
Information extraction from large corpora can be a useful tool for many applications in industry and academia. For instance…
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2015
2015
Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series
Sungrae Park
,
Wonsung Lee
,
Il-Chul Moon
TM@CIKM
2015
Corpus ID: 16484398
A series of events generates multiple types of time series data, such as numeric and text data over time, and the variations of…
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2013
2013
A Dynamic Topic Model of Learning Analytics Research
M. Derntl
,
Nikou Günnemann
,
R. Klamma
International Conference on Learning Analytics…
2013
Corpus ID: 15948055
Research on learning analytics and educational data mining has been published since the rst conference on Educational Data Mining…
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2013
2013
Continuous-time Infinite Dynamic Topic Models
Wesam Elshamy
arXiv.org
2013
Corpus ID: 16352878
Topic models are probabilistic models for discovering topical themes in collections of documents. In real world applications…
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2012
2012
Incorporating Metadata into Dynamic Topic Analysis
Tianxi Li
,
B. Kveton
,
Yuehua Wu
,
Ashwin Kashyap
BMA
2012
Corpus ID: 1301102
Everyday millions of blogs and micro-blogs are posted on the Internet These posts usually come with useful metadata, such as tags…
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2010
2010
Topic Tracking with Dynamic Topic Model and Topic-based Weighting Method
Xiaoyan Zhang
,
Ting Wang
Journal of Software
2010
Corpus ID: 18728552
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…
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2010
2010
Topic Tracking with Improved Representation Model and Joint Tracking Method
Xiaoyan Zhang
,
Ting Wang
Int. J. Wavelets Multiresolution Inf. Process.
2010
Corpus ID: 30863690
Topic tracking is to monitor a stream of stories to find additional stories on a topic identified by several samples. However…
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