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Topic Discovery in Massive Text Corpora Based on Min-Hashing
This paper describes an alternative approach to discover topics based on Min-Hashing, which can handle massive text corpora and large vocabularies using modest computer hardware and does not require to fix the number of topics in advance.
Sampled Weighted Min-Hashing for Large-Scale Topic Mining
We present Sampled Weighted Min-Hashing (SWMH), a randomized approach to automatically mine topics from large-scale corpora.
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