def process_tweet(tweet):
post = tweet.text
sentiment_value = s.classify(post)
print(post,",",sentiment_value)
output = open("twitter-out1.txt","a")
output.write(sentiment_value)
output.write('\n')
output.close()
def on_data(self, data):
all_data = json.loads(data)
tweet = all_data["text"]
sentiment_value = s.classify(tweet)
print(tweet,",",sentiment_value)
output = open("stream-out.txt","a")
output.write(sentiment_value)
output.write('\n')
output.close()
return True
index_score = [280,285,147,175,173,158,189,127,124,60]
voting_result = [0.04,0.01,0,0,0.08,0.03,0.44,0.39,0,0]
sentiment_score = []
sov_score = []
sovp_score = []
sovn_score = []
for p in players:
counter = []
query= 'SELECT * FROM (' + ','.join(map(str, players)) + ')'
c.execute(query)
results = c.fetchall()
for row in results:
post = row[3]
# print(post)
sentiment_value = s.classify(post)
counter.append(sentiment_value)
choice_pos = counter.count("pos")
choice_neu = counter.count("neu")
choice_neg = counter.count("neg")
sent_score = math.log10((choice_pos+1)/(choice_neg+1))
sov = (len(counter)/274715)
sovp = choice_pos/91992
sovn = choice_neg/4919
sentiment_score.append(sent_score)
sov_score.append(sov)
sovp_score.append(sovp)
sovn_score.append(sovn)
print("pos:", sovp)
print("sov:", sov)
print("neg:", sovn)