What is it about?
It proposes an algorithm to efficiently organize documents from probabilistic models of topics to make instant searches in large collections.
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Why is it important?
Avoids the calculation of a correlation matrix to relate documents
Perspectives
Helps to organize large collections of documents automatically by grouping those related even to new texts
Carlos Badenes-Olmedo
Universidad Politecnica de Madrid
Read the Original
This page is a summary of: Large-scale semantic exploration of scientific literature using topic-based hashing algorithms, Semantic Web, April 2020, IOS Press,
DOI: 10.3233/sw-200373.
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