affiliation_list = []
for temp_tuple in TotalCountList:
affiliation_list.append(str(temp_tuple[0]))
token_list.append(temp_tuple[1].strip())
tf_value_list.append(str(temp_tuple[2]))
token_str = ",".join(token_list)
tf_str = ",".join(tf_value_list)
affiliation_str= ",".join(affiliation_list)
data.insertAffiliationToken(affiliation_str, token_str,',', tf_str)
print("inserted %s tokens into database" % str(len(token_list)))
data = Database()
stopwords = nltk.corpus.stopwords.words('english')
synopses = data.getAffiliation()
affiliation_list=[]
TotalCountList = []
count=0
for i in synopses:
count += 1
affiliation_id = i[0]
content = normalizeString(i[1])
allwords_stemmed = tokenize_and_stem(content)
#print(allwords_stemmed)
allwords_stemmed = [word for word in allwords_stemmed if word not in stopwords]
#print(allwords_stemmed)
count_list = count_words(allwords_stemmed)
for token_count in count_list:
temp_tuple=[]
