def countwords(results):
count=dict()
for value in results["results"]:
#get the text from each tweet
text=value["text"]
#correct ASCII issues
text = filter(lambda x: x in string.printable, text)
#add space at the end of the line
text = text + " "
#stem text
text1=porterstemmer.stemWords(text)
#find all strings that only contains alphabets from the stemming text
words=re.findall("[A-Za-z]+",text1)
for word in swords:
t=words.count(word)
if word in count:
count[word]+=t
else:
count[word]=t
return count
list=open("sentimentList.txt")
#create a dictionary to store stemming words and values
swords=dict()
for line in list:
line=line.strip()
#split the line into words by the last comma
words=line.rsplit(",")
#words[0] is the sentiment word or expression
word=words[0]
#check if it is an actual word
if not word.isalpha(): continue
#if it is a word, then run porterstemmer to stem the words
line1=porterstemmer.stemWords(line)
words1=line.rsplit(",")
word=words1[0]
value=words1[1]
#store the sentiment word/value after stemming into the dictionary swords
#ignore the duplicate word
if word in swords:
continue
else:
swords[word]=value
#create a dictionary to store sentiment word from twitter text and its frequency
def countwords(results):
count=dict()
for value in results["results"]: