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Automatic symbolic information processing

Automating the analysis of arrays of text documents in information and communication environments

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  • 212 pages
  • 8 hours of reading

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Focusing on the development of linguistic and algorithmic software, this work addresses the extraction of key content information from large text arrays using mathematical and linguistic methods. It introduces a generalized processing scheme for journalistic texts and explores the alignment between human and computer text processing. The book proposes a text model that integrates statistical and formal linguistic methods, detailing an algorithm for semantic processing, indexing, and constructing semantic networks to enhance information synthesis from topic-specific texts.

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Automatic symbolic information processing, Irina Nikolaeva

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Released
2021
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