AFINN scoring on different dimensions http://fnielsen.tumblr.com/post/54918264238/afinn-scoring-on-different-dimensions

Nielsen2013AFinnscoring.py

#!/usr/bin/python

# http://rainbowdash.net/notice/2764341
text =  "@zeldatra I'm surprised you got my hair spot on though, " + \
    "considering how I exaggerate it so much. " + \
    "Thanks! Although I dunno why?" 


import os.path
import re

FILENAME_AFINN = os.path.expanduser('~') + '/data/AFINN/AFINN-111.txt'

# Find the words in the text
pattern_word = re.compile(r'[^\W_]+(?:-[\W_]+)?', flags=re.UNICODE)
words = pattern_word.findall(text)

# Read in the dictionary with valence:
# https://gist.github.com/fnielsen/4183541
afinn = dict(map(lambda (w, s): (unicode(w, 'utf-8'), int(s)), [ ws.strip().split('\t') for ws in open(FILENAME_AFINN) ]))

valences = map(lambda w: float(afinn.get(w.lower(), 0)), words)
arousals = map(abs, valences)
positives = map(lambda v: float(v>0) and v, valences)
negatives = map(lambda v: abs(float(v<0) and v), valences)


valence = sum(valences)
arousal = sum(arousals)
positive = sum(positives)
negative = sum(negatives)
ambivalence = arousal - abs(valence)

def format_row(header, items, total):
    print('<tr><th>' + header + ':<td>' + '<td>'.join(map(str, items)) + '<td>' + str(total))

print("""
<style type="text/css">
table {
	border-width: 1px;
	border-spacing: 2px;
	border-style: solid;
	border-color: black;
	border-collapse: collapse;
	background-color: white;
}
table th {
	border-width: 1px;
	padding: 2px;
	border-style: inset;
	border-color: gray;
	background-color: white;
}
table td {
	border-width: 1px;
	padding: 2px;
	border-style: inset;
	border-color: gray;
	background-color: white;
}
</style>
""")

if False:
    print('<table>')  #  style="border:1px #000 solid; border-collapse: collapse;">')
    format_row('Words', words, 'Total')
    format_row('Valences', valences, valence)
    format_row('Arousal', arousals, arousal)
    format_row('Positive', positives, positive)
    format_row('Negative', negatives, negative)
    format_row('Ambivalence', ['']*len(words), ambivalence)
    print('</table>')
else:
    print('<table>')  #  style="border:1px #000 solid; border-collapse: collapse;">')
    print('<tr><td>' + "<td>".join(['Word', 'Valence', 'Arousal', 'Positive', 'Negative', 'Ambivalence']))
    for items in zip(words, valences, arousals, positives, negatives):
        print('<tr><td>' + '<td>'.join(map(str, items)))

    print('<tr><td>' + '<td>'.join(map(str, ['Total', valence, arousal, positive, negative, ambivalence])))
    print('</table>')