Thanks, Joe!  I'll read over that PDF you sent over; as far as the code 
goes, I think the PDF documentation describing the methodology should 
suffice.

-Rob

On Monday, January 21, 2019 at 11:33:31 AM UTC-6, Joe Armstrong wrote:
>
> 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
>>
>

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