Rob Churchill

Orcid: 0000-0003-4798-1582

According to our database1, Rob Churchill authored at least 7 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Using topic-noise models to generate domain-specific topics across data sources.
Knowl. Inf. Syst., May, 2023

2022
The Evolution of Topic Modeling.
ACM Comput. Surv., January, 2022

A Guided Topic-Noise Model for Short Texts.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Dynamic Topic-Noise Models for Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections.
Proceedings of the IEEE International Conference on Data Mining, 2021

textPrep: A Text Preprocessing Toolkit for Topic Modeling on Social Media Data.
Proceedings of the 10th International Conference on Data Science, 2021

2018
A Temporal Topic Model for Noisy Mediums.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018


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