commonsense / luminoso

A visualizer for multi-dimensional semantic data
http://csc.media.mit.edu/analogyspace/luminoso
38 stars 8 forks source link

Presets for emotions #4

Open kcarnold opened 13 years ago

kcarnold commented 13 years ago

We used to have a "positive-emotion.txt". That was a decent idea -- preset canonical documents for various emotions.

sgt101 commented 13 years ago

I've written a few standard concept sets Distance: abroad apart obscure isolated indirect secluded separate inaccessible yonder fa r-flung farther further far distant long away other detached NOT close near lik e similar adjacent adjoining abutting approaching convenient handy immediate im minent impending nearly neighboring next nigh proximate

Tastes : sweet sugar sacharine cloying honeyed lucious nectarous toothsome NOT bitter ta rt sour acerb acetic acetose acid acidic acidulated acrid astringent biting bri ny caustic curdled cutting dry fermented musty peppery piquant pungent rancid s harp unsavoury vinegary

Movement apathetic crawling creeping dawdling delaying deliberate dilatory dreamy drowsy gradual idle inactive indolent inert lackadaisical laggard lagging leaden leis urely lethargic listless loitering measured moderate negligent passive phlegmat ic plodding ponderous postpoing procrastinating quiet reluctant remiss slack sl eepy slothful sluggish snaillike stagnant supine tardy torpid static still stop ped waiting paused exhausted slovenly slow NOT moving dancing quick nimble gymn astic quick light abrupt accelerated active agile alert animated breakneck brie f brisk cursory curt energetic expeditious expeditive express fleet flying goin g harefooted hasty headlong hurried immediate impatient impetuous instantaneous keen lively mercurial perfunctory posthaste prompt pronto rapid snappy spirite d sprightly spry sudden swift winged

"moral" judgement:

good auspicious decent honest sinless upright virtuous kind love moral charming pleasant acceptable agreeable neat nice splendid select satisfactory honorable marvelous gratifying superb NOT cruel evil horrid wicked nasty angry atrocious bad baneful beastly calamitous damnable depraved destructive disastrous excrab le lagitious foul harmful hateful heinous hideous iniqutous injurious loathsome low malevolent malicious malignant nefarious obscene offensive pernicious pois on reprovate repugnant repulsive revolting spiteful stinking ugly unpleasant vi cious vile villainous wrathful wrong

temperatures:

hot heat burning frying sizzle flame fire furnace kiln baking oven heating roas ting scorched sweating blazing boiling broiling humid steaming torrid tropical NOT cold freezing frozen icey snow sleet chilly nippy siberian artic bitter bit ing cool wintry gelid glacial frigid

size

ample brimming bulky burly capacious colossal considerable tall big high heavy weighty huge massive substantial vast large fat copious enormous extensive giga ntic monster roomy sizable spacious strapping lanky lofty rangy elevated soari ng towering statuesque voluminous vast tremendous whopper NOT small little tin y wee light thin elfin infinitesimal meager miniature minute peanut short toy t runcated undersized stubby stunted inconsiderable diminutive concise condensed laconic fleeting terse summary curt brief compressed

I wonder about the sensitivity of the analysis to the particular membership of these sets. Does having "gelid" in the temperature set really matter? Also the "NOT" semantic - what is that all about?????