Notices by Brandon Hall (bthall@bikeshed.party), page 13
lnxw48a1 (lnxw48a1@nu.federati.net)'s status on Sunday, 02-Jun-2019 22:28:08 EDT
lnxw48a1Communication summary for this week: Telephone calls with mom (2), 1 brother (1), #sonTwo (4), co-workers Ken (1) and Mark (1) SMS conversations with 2 brothers, 1 sister, #sonOne, sonTwo, co-workers Ken and Mark Online chats (text) with sonOne, sonTwo, #Daddy_A, two nephews, a couple of people from the Fediverse, #GD1 and #GD2 (plus exchanged drawings and photos with GD2); (video) with sonTwo and his family, joined by GD2
I did learn that this is important during my year in #PR, far away from all of these folks (Ken was there, but he was in another city).
For people here familiar with #textmining or #graphtheory, have you heard of methods that bring together the two approaches?
For analyzing my wiki's contents I could analyze the explicit linkages between articles with graph theory and the implicit linkages with text mining, but I wonder about how much better it'd be to analyze both graphs. I think that #LDA in textmining creates a graph representation anyway, so it may just require tools for integrating two related graphs.
I enjoy cases where a programming language is used as little more than a language for expressing ideas and working with them. I feel like I'd found many posts like this on Planet Python when I was first getting into #Python / coding, but many of the posts now are deep in the weeds, solution-centric things.
There should always be a clear separation between the information a site contains and the way it is presented, with the user able to control the presentation layer. The same site should render as text, via a speech interface or as a mashup of sites via selecting the presentation template most appropriate to the current context.