term_sentiment.py

import urllib
import json
import sys
from pprint import pprint,pformat

def hw():
    print 'Hello, world!'

def lines(fp):
    print str(len(fp.readlines()))

def main():
	sent_file = open(sys.argv[1])
	tweet_file = open(sys.argv[2])

#	hw()
#	lines(sent_file)
#	line(tweet_file)

	afinnfile = sent_file.readlines()
	scores = {} # initialize an empty dictionary
	for line in afinnfile:
		term, score  = line.split("\t")  # The file is tab-delimited. "\t" means "tab character"
		scores[term] = int(score)  # Convert the score to an integer.

	tweet_lines = tweet_file.readlines()
	newdict={}
	for t in tweet_lines:
		tweet = json.loads(t)
		sentiment=0.0
		if(tweet.has_key('text')):
			tweet_text=tweet['text']
			tweet_words = tweet_text.split(' ')
			for word in tweet_words:
				if word in scores:
					sentiment+=scores[word]
					for newword in tweet_words: 
						if newword not in newdict:
							newdict[newword]=scores[word]*1.0
						else:
							newdict[newword]+=scores[word]*1.0
	for key in sorted(newdict.keys()):
    		print key, newdict[key]
	tweet_file.close()
	sent_file.close()

if __name__ == '__main__':
    main()