Papers by Evan Thompson
FANATIC: FAst Noise-Aware TopIc Clustering (2021.findings-emnlp)
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| Challenge: | a large amount of data can be computationally prohibitive for extracting topic noise . many clustering algorithms assign documents to one of the available clusters . a novel algorithm that efficiently distinguishes documents from genuine topics is developed . |
| Approach: | They propose an algorithm that efficiently distinguishes documents from genuine topics . they use a reddit dataset to showcase the algorithm as it contains short, noisy data . |
| Outcome: | The proposed algorithm outperforms hdbscan and hANATIC on a Twitter dataset. |