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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com

Title : AWS-POWERED NATURAL LANGUAGE PROCESSING

Author : Dr.P.Harini, Shaik Jameer Basha, Karri Praveen Kumar

Abstract :

The AWS-Powered Natural Language Processing (NLP) project focuses on developing a cloud-based system that leverages Amazon Web Services to perform advanced text processing, understanding, and analysis. NLP is a crucial component of artificial intelligence, enabling machines to comprehend, interpret, and generate human language. Traditional NLP systems often require extensive infrastructure, complex setup, and specialized computing resources, making them difficult to scale and maintain. By utilizing AWS services such as Amazon Comprehend, AWS Lambda, and Amazon S3, this project implements a serverless and scalable architecture capable of handling large volumes of textual data in real-time. The system can perform sentiment analysis, entity recognition, language detection, and text classification, providing actionable insights for business, research, and customer support applications. It also ensures secure data storage, encrypted transmission, and controlled access using AWS Identity and

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