errrr, I always arrive at it by google….
might just need some SEO magic
@null Feel free to log in with your Slack account, I can hook you up so you can do the SEO magic then. I think I already got it fairly well covered by the meta descriptions?
wasn't thinking meta tags - perhaps some code changes
@Firesphere - data-mine it. do a word-cloud type analysis, then subtract obvious ones like “hi”, “thanks”, “and” (I’m sure there some common usage type resource that could provide the list to subtract), then use a little human common sense to work out how the top words relate to potential FAQs or tutorials
If you could dump out a subset of the data I would give it a try at a basic level. I would use R cos thats what I know better (for -omic data). Am actually doing a course in “advanced data manipulation techniques in R” (or some title that sounds as obnoxious as that) for work in a few weeks so could even use that as my practice dataset…. (since there are already alot of pipelines for standard omics datasets and I want to learn new techniques to go beyond the pipelines)
The slackbot-uprising begins today
This is not the 🤖 uprising. Rest in peace