Abstract
The goal of this research project is to create a comprehensive multimedia and text processing framework that can be used in a variety of applications. The objective is to combine a collection of libraries and instruments for the purpose of extracting, analyzing, and modifying textual information obtained from multimedia files, including images, videos, and audio files. The strategy involves applying cutting-edge techniques such as computer vision, audio processing, natural language processing (NLP), optical character recognition (OCR), and computer vision. Important findings include accurate text extraction from multimedia inputs, accurate textual data analysis using natural language processing techniques, and the production of insightful information via sentiment analysis, summarization, and translation. Its main contributions are related to the development of a flexible system that can process a wide range of multimedia inputs and provide useful text processing features. This project provides a foundation for future research and useful applications in the fields of text processing and multimedia.
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