The code I wrote was a bit messy and just as an experiment. Good enough for proof of concept but not for production - it was just written to test a few ideas.
I don't mind sending you a private copy - but explaining how it works would be low priority. A better idea would be for me to put it up on github together with my library of Erlang code that parses and mucks with tiddlers - I'm trying to programmatically create TWs from other data sources. If you saw the talk you'd see that we're interested in "Communicating TW's" I can imagine TW's sending messages to each other - but this is a long way off ... I did make a little writeup that explains the method (enclosed) - the code was just a prototype and written in Erlang - the problem at the moment is that this is not integrated in any way with a live TW - Our idea was to integrate this through a socket interface. At the moment I'm learning the TW so hopefully when I understand more I'll figure out how to connect the TW to Erlang through a socket and fun and games will follow :-) The TF*IDF algorithm is very simple (see the writeup) most of the work is in tokenising the input into words - from then on it's easy (in pure JS) - integrating this with the TW would then be as they say "an exercise to the reader" (that's what I say when I don't know how to do this :-) Cheers /Joe On Monday, 21 January 2019 18:04:10 UTC+1, Rob Hoelz wrote: > > Hi everyone (especially Jeremy and Joe) - > > I finally got around to watching this talk, and I was enraptured the whole > time, especially by the part about inferring tags and using TF-IDF to come > up with more accurate suggestions. Is the source code for your work freely > available? I tried my hand at tag inference using forests of decision > trees a few months back, and I'd like to study alternative approaches! > > Thanks, > Rob > -- You received this message because you are subscribed to the Google Groups "TiddlyWiki" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tiddlywiki. To view this discussion on the web visit https://groups.google.com/d/msgid/tiddlywiki/bb321e51-e6e8-47a4-8f86-0dcfa49e6881%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
tag_predictor.pdf
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