1.0.1 • Published 9 years ago

eat-wrapper v1.0.1

Weekly downloads
2
License
MIT
Repository
github
Last release
9 years ago

eat-wrapper

some helpful wrapper functions around the very helpful JSON port of the Edinburgh Associative Thesaurus by Darius Kazemi. See license thing way down below in the depths.

NPM js-standard-style Build Status

EXAMPLE

example basic output of the eat json, looking up the world 'aeroplane':

AEROPLANE: [ { FLY: '15' },
  { FLIGHT: '6' },
  ...
  ]

this module formats it to be more like this:

AEROPLANE: { FLY: 15,
  FLIGHT: 6,
  ...
}

API

If you pass a word that the EAT don't know about, it should hopefully return undefined, so deal with that.

var eatWrapper = require('eat-wrapper')() => invoke that thang, build that muscle

eatWrapper.random(word, weighted:true) => picks an associated word at random. if weighted is true (it is by default), then the randomness will be weighted by the values for each associated word. For example, in this instance: AEROPLANE [ { FLIGHT: '6' }, { PLANE: '3' }], flight would be twice as likely to be returned as plane if it is weighted, but they would have equal chances if it is not weighted.

eatWrapper.keys(word) => returns a list of words associated with the given word

eatWrapper.key(word) => returns the formatted json object of {associatedWord: value, ...} for that word

eatWrapper.eat => ginormous json of {WORD {ASSOC-WORD: 'VALUE'}, ...}

USAGE/IDEAS

  • Darius Kazemi notes that "It's a weird set of associations very particular to its time and place" which is Britain in the 70s. Could consider it a weirdly specific and janky word net? The thing itself has a "voice" already, can it be made to speak? Can this sort of thing be replicated for other times and spaces? (tags on things?)

  • make a markov chain guide/filter its output towards associated words/concepts?

  • take the eat object and use it to learn d3 or something (COOL)

License

The Edinburgh Associative Thesaurus dataset is public sector data available under an Open Government License. As such you are free to

  • copy, publish, distribute and transmit the Information;
  • adapt the Information;
  • exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application.

See the Open Government License for further detail.