The workshop will focus on developing a batch-processing workflow rather than processing documents individually. By the end of the workshop, participants will have a better understanding of how to use Python to transform scanned documents and image-based PDFs into searchable text.
The workshop will focus on developing a batch-processing workflow rather than processing documents individually. By the end of the workshop, participants will have a better understanding of how to use Python to transform scanned documents and image-based PDFs into searchable text.
The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. During this session, we will introduce the concept of Large Language Models (LLMs), discuss their strengths and weaknesses, and explore how they can be effectively integrated into research workflows.
Sentiment analysis is the process of determining whether a piece of writing is positive, negative or neutral. Its use has become relatively widespread, including being used to analyse customer feedback, social media, user surveys, and more. This workshop will cover how it works; pros and cons; using it on text, user feedback and online sources.
This lesson teaches how to create a digital gazetteer from a historical text using the Linked Places Delimited (LP-TSV) format. A gazetteer records place names, spatial extents, and historical data, offering a structured knowledge system to connect places, events, and people across time. It is a key tool for spatial history and digital humanities.
This three-session course introduces attendees to Gephi, a free and open-source network analysis and visualisation tool. The main focus will be on social network analysis, and attendees will have the opportunity to apply their own dataset in Gephi.
Edinburgh Futures Institute (EFI) building, The University of Edinburgh, 1 Lauriston Place, Edinburgh, EH3 9EF
*Deliveries via West Entrance on Nightingale Way.
Email: efi@ed.ac.uk
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