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