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Applying a Burst Model to Detect Bursty Topics in a Topic Model

2012
This paper focuses on two types of modeling of information flow in news stream, namely, burst analysis and topic modeling. First, when one wants to detect a kind of topics that are paid much more attention than usual, it is usually necessary for him/her to carefully watch every article in news stream at every moment.
Yusuke Takahashi   +6 more
openaire   +2 more sources

A Bibliometric Analysis of Topic Modelling Studies (2000–2017)

Journal of Information Science, 2021
Lei Lei
exaly  

Digital Voice-of-Customer Processing by Topic Modelling Algorithms: Insights to Validate Empirical Results

International Journal of Quality and Reliability Management, 2022
Fiorenzo Franceschini   +2 more
exaly  

Topic Modelling for Theme Park Online Reviews: Analysis of Disneyland

Journal of Travel and Tourism Marketing, 2020
Rob Law, Jian Ming Luo, Gang Li
exaly  

An Evaluation of Document Clustering and Topic Modelling in Two Online Social Networks: Twitter and Reddit

Information Processing and Management, 2020
Paul Kennedy, Barry Drake
exaly  

Structural Topic Modelling Segmentation: A Segmentation Method Combining Latent Content and Customer Context

Journal of Marketing Management, 2021
Burnham Thomas   +2 more
exaly  

The Ideal Topic: Interdependence of Topic Interpretability and Other Quality Features in Topic Modelling for Short Texts

Lecture Notes in Computer Science, 2020
Nina Zhuravleva   +2 more
exaly  

Supporting Digital Content Marketing and Messaging Through Topic Modelling and Decision Trees

Expert Systems With Applications, 2021
Maria Pampaka   +2 more
exaly  

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