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NLP-based intelligent text analysis system

Akbasheva Eugeniya Amirovna  (Senior Teacher, Kabardino-Balkarian State University (Nalchik))

Akbasheva Galina Amirovna  (Senior Teacher, Kabardino-Balkarian State University (Nalchik))

Tlupov Islam Zaurbekovich  (Student, Kabardino-Balkarian State University (Nalchik))

The problem of representing the results of language models and evaluating their quality is understudied. This paper examines the application of language models and NLP techniques to develop an intelligent text analysis system. The idea is to use the capabilities of natural language processing algorithms to analyze semantics in order to demonstrate the possibilities of artificial intelligence for fast analysis of texts of any volume and subject matter. A graph representation of text is used to represent the results of the system.

Keywords:Natural language processing, language models, graph, machine learning, BERT model, SpaCy.
 

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Citation link:
Akbasheva E. A., Akbasheva G. A., Tlupov I. Z. NLP-based intelligent text analysis system // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№11/2. -С. 73-79 DOI 10.37882/2223-2966.2022.11-2.02
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