Course Details

Unlocking Archival Treasures: AI-Driven OCR & Text Mining for Archives Training Course

INTRODUCTION

"Transform your archival collections into searchable and analyzable resources with our AI-Driven OCR & Text Mining for Archives Training Course. Master the use of cutting-edge tools like Tesseract, Transkribus, and HathiTrust to digitize, transcribe, and extract valuable insights from historical documents. This AI-Driven OCR & Text Mining for Archives Training Course equips archivists with the skills to leverage AI for enhanced accessibility, research, and preservation. Discover how to unlock the hidden information within your archives and make them accessible to a wider audience through advanced text mining techniques."

DURATION

10 days

TARGET AUDIENCE

This course is meticulously designed for:

• Archivists and Librarians: To digitize and analyze archival collections.
• Digital Archivists: To manage and process digital archival materials.
• Researchers and Historians: To utilize text mining for historical research.
• Information Science Students and Professionals: To gain expertise in AI-driven archival processing.
• Anyone seeking to enhance archival accessibility through OCR and text mining.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the principles and applications of OCR and text mining in archives.
• Utilize tools like Tesseract, Transkribus, and HathiTrust for archival processing.
• Implement AI-driven OCR for various document types and languages.
• Apply text mining techniques for data extraction and analysis.
• Improve the accuracy of OCR output through post-correction and training.
• Understand the challenges of historical document processing.
• Develop workflows for large-scale digitization and text mining projects.
• Utilize metadata to enhance text mining results.
• Understand the ethical considerations of using AI on archival materials.
• Develop strategies for making digitized archival materials accessible.

COURSE MODULES

Module 1: Introduction to OCR and Text Mining in Archives:

• Overview of OCR (Optical Character Recognition) and text mining.
• The importance of digitization and text analysis in archives.
• Challenges of historical document processing.
• Ethical considerations and best practices.

Module 2: Tesseract OCR for Archives:

• Introduction to Tesseract OCR and its capabilities.
• Installing and configuring Tesseract.
• Performing OCR on various document types.
• Improving OCR accuracy through pre-processing and post-correction.

Module 3: Transkribus for Handwritten Text Recognition (HTR):

• Introduction to Transkribus and its HTR technology.
• Training Transkribus models for specific handwriting styles.
• Using Transkribus for transcription and document analysis.
• Integrating Transkribus into archival workflows.

Module 4: HathiTrust Research Center (HTRC):

• Introduction to HathiTrust and HTRC.
• Utilizing HTRC tools for text mining and data analysis.
• Performing large-scale text analysis on digitized collections.
• Accessing and utilizing HTRC datasets and APIs.

Module 5: Text Pre-processing and Post-Correction:

• Techniques for image enhancement and pre-processing.
• Using tools for post-correction and error reduction.
• Implementing automated correction workflows.
• Evaluating OCR accuracy and performance.

Module 6: Text Mining Techniques for Archives:

• Named entity recognition and information extraction.
• Topic modeling and document clustering.
• Sentiment analysis and text classification.
• Utilizing text mining for historical research.

Module 7: Metadata and Text Mining:

• Integrating metadata with text mining results.
• Using metadata to enhance search and retrieval.
• Developing metadata schemas for digitized archives.
• Utilizing metadata for data analysis and visualization.

Module 8: Developing Digitization and Text Mining Workflows:

• Planning and implementing large-scale digitization projects.
• Developing efficient workflows for OCR and text mining.
• Integrating tools and platforms for seamless data processing.
• Managing and storing digitized archival materials.

Module 9: Ethical Considerations and Data Accessibility:

• Addressing privacy and copyright issues in digitized archives.
• Ensuring accessibility for diverse users.
• Developing strategies for data sharing and collaboration.
• Utilizing open access platforms and repositories.

Module 10: Advanced Applications and Future Trends:

• Exploring advanced AI techniques for archival processing.
• Utilizing machine learning for document classification and analysis.
• Developing innovative tools and applications for digitized archives.
• The future of AI in archival research and preservation.

 CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com