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Artificial Intelligence and Decision Making, 2013, Issue 1, Pages 33–40
(Mi iipr387)
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This article is cited in 3 scientific papers (total in 3 papers)
Natural language processing
Method for detecting relationships between sci-tech documents based on topic importance characteristic
R. E. Suvorov, I. V. Sochenkov Institute for Systems Analysis of Russian Academy of Sciences
Abstract:
The article covers research in the field of Natural Language Processing. The method and the algorithm for searching thematically similar documents are presented. A comparison of various measures of thematic similarity and sets of features is performed.
Keywords:
text similarity, vector space model, TF, IDF, topic importance characteristic, measure of thematic similarity, assessment of methods for information retrieval, DCG.
Citation:
R. E. Suvorov, I. V. Sochenkov, “Method for detecting relationships between sci-tech documents based on topic importance characteristic”, Artificial Intelligence and Decision Making, 2013, no. 1, 33–40; Scientific and Technical Information Processing, 42:5 (2015), 321–327
Linking options:
https://www.mathnet.ru/eng/iipr387 https://www.mathnet.ru/eng/iipr/y2013/i1/p33
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Statistics & downloads: |
Abstract page: | 16 | Full-text PDF : | 27 | References: | 1 |
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