ChatGPT: Document and Image Information Extraction
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Course Details
- Introduction
- Objective
- Who should attend
Information extraction from documents and images is a critical skill for professionals across various industries, especially as businesses increasingly rely on AI-driven solutions for data processing and decision-making. This course offers an in-depth exploration of how AI, natural language processing (NLP), and optical character recognition (OCR) technologies can be used to extract meaningful information from both text and visual content. Over five days, participants will gain hands-on experience in setting up extraction pipelines, working with real-world data, and integrating cutting-edge techniques to process both document-based and image-based information.
The course covers fundamental principles of OCR and NLP, as well as advanced methods for improving accuracy and handling complex formats. Attendees will explore multimodal extraction systems that combine document and image processing, focusing on practical applications and challenges in various sectors such as healthcare, marketing, and legal fields. By the end of the course, participants will be equipped with the knowledge and tools needed to build automated information extraction solutions and improve efficiency in their workflows.
Course Outline
Introduction to Information Extraction
- Definition and purpose of information extraction
- Basics of document and image information extraction
- Fundamentals of Optical Character Recognition (OCR) technology and its application in text extraction
- Identifying the role of natural language processing (NLP) in information extraction
- Exploring the applications of document and image information extraction across various industries
- Exercise: Setting up Python and relevant libraries for basic ORC and NLP tasks
Course Video