AST Method for Scoring String-to-text Similarity

Ekaterina Chernyak and Boris Mirkin ()
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Boris Mirkin: National Research University – Higher School of Economics

A chapter in Clusters, Orders, and Trees: Methods and Applications, 2014, pp 331-340 from Springer

Abstract: Abstract A suffix-tree-based method for measuring similarity of a key phrase to an unstructured text is proposed. The measure involves less computation and it does not depend on the length of the text or the key phrase. This applies to: 1. finding interrelations between key phrases over a set of texts; 2. annotating a research article by topics from a taxonomy of the domain; 3. clustering relevant topics and mapping clusters on a domain taxonomy.

Keywords: Suffix tree; Unstructured text analysis; String similarity measures (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4939-0742-7_20

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DOI: 10.1007/978-1-4939-0742-7_20

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