def __init__(self, emoticon_file=path+'/data/emoticons.csv', \
affect_wordnet_file=path+'/data/affectiveWNmatrix.pickle'):
# Build emoticon dictionary
self.emoticon = {}
emoticon_reader = csv.reader(open(emoticon_file, 'r'))
for emoticon, meaning in emoticon_reader:
self.emoticon[emoticon.decode('utf-8')] = meaning
self.emoticon_list = self.emoticon.keys()
# Create blending of affect WordNet and ConceptNet
cnet = conceptnet_2d_from_db('en')
affectwn_raw = get_picklecached_thing(affect_wordnet_file)
affectwn_normalized = affectwn_raw.normalized()
theblend = Blend([affectwn_normalized, cnet])
self.affectwn = theblend.svd()
# Get natural language processing tool
self.nl = get_nl('en')
def _get_color_blend():
colors = get_picklecached_thing(FILEPATH+os.sep+'colormatrix.pickle.gz', _make_color_matrix)
cnet = get_picklecached_thing(FILEPATH+os.sep+'cnet.pickle.gz', lambda: conceptnet_2d_from_db('en'))
colorblend = Blend([colors, cnet]).normalized(mode=[0,1]).bake()
return colorblend
