Alex & PMario

External reference could be useful. Personally I prefer associative visual 
maping like VisualTheasaurus.

BUT before that, surely, we need to get somewhat more COMMUNAL on taggery?

I mean, why look up Godzilla when simple sharing could do it?

J.



On Friday, 14 December 2018 13:39:23 UTC+1, AlexHough wrote:
>
> Mario,
>
> " a mechanism, that would suggest "meaningful tags" by analysing the prose 
> text(s). ... but it needs to work without a 3rd party server. It should be 
> integrated into TW. ... Is this possible?"
>
> Wordnet [1] might be useful. 
>
> WordNet® is a large lexical database of English. Nouns, verbs, adjectives 
> and adverbs are grouped into sets of cognitive synonyms (synsets), each 
> expressing a distinct concept. Synsets are interlinked by means of 
> conceptual-semantic and lexical relations. The resulting network of 
> meaningfully related words and concepts can be navigated with the browser 
> <http://wordnetweb.princeton.edu/perl/webwn>. WordNet is also freely and 
> publicly available for download <https://wordnet.princeton.edu/download>. 
> WordNet's structure makes it a useful tool for computational linguistics 
> and natural language processing.
>
>
> I use it a lot to find words at higher or lower levels of abstraction. It 
> would be wonderful if, when tagging, words from Wordnet were suggested...
>
> Alex
>
> [1] https://wordnet.princeton.edu/
>
> On Thu, 13 Dec 2018 at 11:58, PMario <[email protected] <javascript:>> 
> wrote:
>
>>
>> On Wednesday, December 12, 2018 at 5:54:41 PM UTC+1, Joe Armstrong wrote:
>> ...
>>
>>> What I did was to use Baysian inference to "learn" the relationship 
>>> between the words in the text and the supplied tags - so for each word in 
>>> the text I caculate the probability that the tiddler has tag <T> (forall 
>>> known tags <T>) - then in a second pass I tested the model and predicted 
>>> the tags from the text. This way I could correctly predict about 80% of the 
>>> tags from the text alone. The problem was that, to me, many of the tags 
>>> were meaningless and were used internally to organise the TW.
>>>
>>
>> That's interesting. ... But I think this has some "evolutionary" causes. 
>>
>> I think, it hasn't always been that way. Open classic.tiddlywiki.com ... 
>> You'll see wikipedia-like tag-box in every tiddler. ... The UI isn't "nice" 
>> with tags here. .. So a very common question in the group was: "How can I 
>> switch this box off?"
>>
>> I personally prefer something that's called "TagglyTagging" (... oh we 
>> love those weird names :) I think TagglyTagging was introduced with MPTW 
>> <http://mptw.tiddlyspot.com/#TagglyTagging> (Monkey Pirate TiddlyWiki). 
>> For me it was a completely new way to work with tiddler titles. ... TT is a 
>> set of plugins, that allows you to visualize the relation between different 
>> tiddlers ... It speeds up navigation between related tiddlers, in a very 
>> convenient way. ... The "sitemap" view is what we call TOC (Table of 
>> Content) in TW5 now.
>>
>> An other plugin, that imo influenced TW5 was: the fET-plugin (for each 
>> tiddler) <https://tiddlywiki.abego-software.de/#ForEachTiddlerMacro>. It 
>> allows *users *to iterate over the tiddler store and *create *many types 
>> of "*list-views*". This plugin was highly influential for the TW5 
>> list-widget, and <<list-links ...>> macros that we have today. 
>>
>> Both of those systems (mis)use tags to create internal structure, because 
>> the tagging mechanism *was and is* highly optimized. Both in the 
>> core-software and the UI. The core uses several caches to speed up tag and 
>> "backlink" lookups. ... We do have fields and filters, that are able to 
>> create invisible internal structure. But none of those possibilities offer 
>> the performance and "ease of use" from the UI perspective. 
>>
>> In my opinion the TF*IDF were better than the assigned tags since they 
>>> had nothing
>>> to do with the organisation, but more to do with the actual words in the 
>>> text.
>>>
>>
>> For me it would be very interesting to have a mechanism, that would 
>> suggest "meaningful tags" by analysing the prose text(s). ... but it needs 
>> to work without a 3rd party server. It should be integrated into TW. ... Is 
>> this possible?
>>
>> have  fun!
>> mario
>>
>>
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