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Informative Article | Information Technology | India | Volume 10 Issue 5, May 2021 | Popularity: 5.2 / 10

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Streamlining Document Management and Artwork Production with Advanced NLP and Deep Learning Techniques

Saandeep Sreerambatla

Abstract: In the field of digital content creation and document management, the swift and accurate generation, classification, and retrieval of textual and visual content are crucial to meet the demands of modern industries. Utilizing advanced technologies such as Natural Language Processing (NLP), deep learning, and image processing, this research investigates innovative methods to streamline these processes. The study focuses on three key projects: a text sequence generating system using Encoder-Decoder LSTM architecture, a document classification system leveraging SetFit and NLP, and an artwork recommendation system using Named Entity Recognition (NER) and regular expressions. By integrating tools such as Python, OpenCV, YOLOv5, LabelImg, and FastAPI, our research aims to enhance productivity, accuracy, and compliance in various industrial applications.

Keywords: digital content creation, document management, NLP, deep learning, image processing

Edition: Volume 10 Issue 5, May 2021

Pages: 1347 - 1352

DOI: https://www.doi.org/10.21275/SR24615140626

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