I’m following up Streaming Aesthetics (Colour) with some exploratory programming in Python using tweetstream and the python curses terminal library.
print_stream_terms keeps track of basic shape, colour and texture terms and reports on their relative proportions.
Here’s what it looks like when running:
Louisiana Weekly headline: “Conservatives blame the poor for being poor.” In other news, sky blue again this week. #rubyconf
Terms: blue
pattern
stripe: 16/1333 dot: 33/1333 check: 1284/1333
colour
red: 506/866 yellow: 92/866 blue: 268/866
shape
circle: 59/164 triangle: 19/164 square: 86/164
art_is scans mentions of the word ‘art’ to find which of them are statements of what art is, and builds up a definition over time as words are repeated in definintions. It needs focussing on to the statements themselves, like We Feel Fine, as at the moment it considers the whole tweet.
Here’s what it looks like when running:
RT @drmardy: Art is a marriage of the conscious and the unconscious
{‘beautiful’: 1, ‘217’: 1, ‘art’: 14, ‘dont’: 1, ‘garbage’: 1, ‘p’: 1, ‘back’: 1, ‘general’: 1, ‘andre’: 1, ‘xx’: 1, ‘good’: 1, ’tessa’: 1, ‘spanish’: 1, ‘star’: 1, ‘palette’: 1, ‘7971’: 1, ’enjoyed’: 1, ‘shurrup’: 1, ‘album’: 1, ‘gross’: 1, ‘mr_oddly’: 1, ‘pt’: 2, ‘callback’: 1, ‘sake’: 2, ’newmetaldiscs’: 3, ‘ping’: 1, ‘american’: 1, ‘write’: 1, ‘state’: 1, ‘jessicaaaaaarrr’: 1, ‘obj5p’: 1, ’tweets’: 1, ‘marriage’: 2, ‘2010’: 2, ‘knowing’: 1, ‘rt’: 1, ‘dialogue’: 1, ‘murder’: 2, ‘http’: 3, ‘photog’: 1, ‘unconscious’: 2, ‘deleted’: 1, ‘quote’: 1, ‘story’: 1, ‘answers’: 1, ‘collab’: 1, ‘ridiculous’: 1, ’link’: 2, ‘carl’: 1, ‘wedding’: 1, ‘alterado’: 2, ‘muted’: 1, ‘adversary’: 2, ‘fm’: 1, ‘startupstrategy’: 1, ‘minimalist’: 1, ‘kind’: 1, ‘arglbargl’: 1, ’d’: 1, ’thy’: 2, ‘artist’: 1, ‘i’: 3, ‘colour’: 1, ‘conscious’: 2, ‘hussie’: 1, ’thing’: 1, ’s’: 3, ’nicest’: 1, ’t’: 1, ‘474’: 1, ‘rock’: 1, ‘faking’: 1, ‘aye’: 1}
I think it will need to run for a while…