Simplest sentiment analysis in Python with AFINN

afinn.py

#!/usr/bin/python 
#
# (originally entered at https://gist.github.com/1035399)
#
# License: GPLv3
#
# To download the AFINN word list do:
# wget http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/6010/zip/imm6010.zip
# unzip imm6010.zip
#
# Note that for pedagogic reasons there is a UNICODE/UTF-8 error in the code.

import math
import re
import sys
reload(sys)
sys.setdefaultencoding('utf-8')

# AFINN-111 is as of June 2011 the most recent version of AFINN
filenameAFINN = 'AFINN/AFINN-111.txt'
afinn = dict(map(lambda (w, s): (w, int(s)), [ 
            ws.strip().split('\t') for ws in open(filenameAFINN) ]))

# Word splitter pattern
pattern_split = re.compile(r"\W+")

def sentiment(text):
    """
    Returns a float for sentiment strength based on the input text.
    Positive values are positive valence, negative value are negative valence. 
    """
    words = pattern_split.split(text.lower())
    sentiments = map(lambda word: afinn.get(word, 0), words)
    if sentiments:
        # How should you weight the individual word sentiments? 
        # You could do N, sqrt(N) or 1 for example. Here I use sqrt(N)
        sentiment = float(sum(sentiments))/math.sqrt(len(sentiments))
        
    else:
        sentiment = 0
    return sentiment



if __name__ == '__main__':
    # Single sentence example:
    text = "Finn is stupid and idiotic"
    print("%6.2f %s" % (sentiment(text), text))
    
    # No negation and booster words handled in this approach
    text = "Finn is only a tiny bit stupid and not idiotic"
    print("%6.2f %s" % (sentiment(text), text))

Im getting 0 for all sentences, please help

its working thank you

File "C:\Users\Zeeshan Mirza\Desktop\AFINN\AFINN\afinn.py", line 21
afinn = dict(map(lambda (w, s): (w, int(s)), [

please tell me how can i handle it ?

@ZeeshanMirza74 Your errors is insufficient to determine what you problem is. You probably need to set the filename filenameAFINN to the appropriate one.

If you are using Python you might also try the afinn Python package https://pypi.org/project/afinn/