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Semantic Technology-Assisted Review (STAR) Document analysis and monitoring using random vectors
November 28, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Jean-François Delpech
arXiv ID
1711.10307
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The review and analysis of large collections of documents and the periodic monitoring of new additions thereto has greatly benefited from new developments in computer software. This paper demonstrates how using random vectors to construct a low-dimensional Euclidean space embedding words and documents enables fast and accurate computation of semantic similarities between them. With this technique of Semantic Technology-Assisted Review (STAR), documents can be selected, compared, classified, summarized and evaluated very quickly with minimal expert involvement and high-quality results.
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