Дослідження сервісів AWS для обробки природної мови

Abstract

This work explores the current state and prospects of natural language processing (NLP). The main objectives of NLP, such as understanding, generation, and processing of text, have been described. The text scrutinizes the challenges inherent in grappling with the inherent ambiguity of human language, as well as the methodologies adopted to mitigate such complexities. The purpose of this work is to compare AWS services and identify the best one for processing user feedback. AWS has been discussed as a cloud platform offering a wide range of NLP services, such as Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Translate, and Amazon Comprehend.