https://babelnet.org/ == many languages


On Fri, 14 Dec 2018 at 13:21, @TiddlyTweeter <[email protected]>
wrote:

> Alex
>
> Is it in many languages?
>
> J, x
>
> 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]> 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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