I have created a Google doc with (my) takeaways from the Digital Culture Public Sphere session. I know that Pia Waugh (Convener of the Public Sphere) wants to use and incorporate this into her documentation as soon as possible, so it would be great if you could make any additions/changes in the next day or so.
I hope I’ve been able to capture and represent most of the major points (thanks to Yvonne for her excellent note taking), although obviously add anything I didn’t get. It would also be ideal if anyone had further case studies or precedent to add from here.
Thanks,
Suse
]]>Thanks, people. Until next time…
]]>What cataloging, metadata and annotation tools are people using, either offline or online?
How do we analyse our image collections and what tools are there to help with this?
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I learn better by doing than listening. After attending the bootcamp sessions today, lots of us understand theoretically how the tools work.
Can some kind person with more coding experience run a session where participants make their own something using the tools we learned about today?
I would like to create a little webpage (probably as a post on my WordPress site ? ) where I could embed a widget that is querying the NLA People and Organisations set. (For example something that pulls in the entry for Tim Winton then fetches the DBpedia info about him and displays it). Maybe another widget-y thing that produces an interesting something using Tim’s Trove Tools? My idea is that we focus on how the queries are built and pulling in and matching datasets .
We could use something similar to the Netvibes Ecosystem where you can easily make widgets where they do the “wrapper” (graphics and embed code) and you get to focus on just making a query. I am sure there is something even better.
Vague, but I am sure other people can develop and build on this.
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This has lead to many techniques and advances in automated text analysis. I would like to propose a session in which those who use or wish to use automated text analysis techniques come together to exchange notes, discuss effective approaches, identify stumbling blocks and potential sources of error etc…
I myself come from a machine learning background and have only very recently began work in a humanities context. What I can offer is some more technical knowledge of what can be done, such as algorithms to detect sentiment or discussion topics running through a corpus. What I hope to gain is an understanding of how these techniques, or ones like them, are and can be used in the Humanities.
]]>We’ve been experimenting with LORE to see how relationships can be defined and visualised with the tools we have at hand. But discussion with anyone who is pursuing similar research questions or who has experience with software such as Cytoscape would be very valuable. I’d like to participate in such a session if anyone else in interested in joining me.
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