def getSentiments(self, path):
dirs = os.listdir(path)
for file in dirs:
filename = path + file
self.positive.clear()
self.positive.clear()
self.negative.clear()
self.neutral.clear()
self.compound.clear()
self.type.clear()
self.text.clear()
self.score.clear()
self.originalScore.clear()
self.calculatedScore.clear()
self.formatedText.clear()
self.correctScore = 0
print(filename)
count = 0
with open(filename) as csvfile:
print("here")
spamreader = csv.reader(csvfile, delimiter=',')
for row in spamreader:
count = count + 1
if count > 1:
self.type.append(row[0])
self.text.append(row[1])
self.score.append((row[2]))
for i in range(len(self.text)):
findSentimentText = self.text[i]
#print(findSentimentText)
findSentimentText = encoding.smart_str(findSentimentText,
encoding='ascii',
errors='ignore')
findSentimentText = findSentimentText.lower()
findSentimentText = re.sub(
'((www\.[^\s]+)|(https?://[^\s]+))', 'URL',
findSentimentText)
findSentimentText = re.sub('@[^\s]+', 'AT_USER',
findSentimentText)
findSentimentText = re.sub('[\s]+', ' ', findSentimentText)
findSentimentText = re.sub(r'#([^\s]+)', r'\1',
findSentimentText)
findSentimentText = findSentimentText.strip('\'"')
findSentimentText = re.sub('\\\[^\s]+', 'special_symbol',
findSentimentText)
findSentimentText = re.sub('\\\[^\s]+', 'special_symbol',
findSentimentText)
sentiment = Sentiment()
scoreCal = sentiment.getSentimentNLTK(findSentimentText)
self.positive.append(scoreCal[2])
self.negative.append(scoreCal[1])
self.neutral.append(scoreCal[0])
self.compound.append(scoreCal[3])
if (scoreCal[3] > 0.5):
self.calculatedScore.append(1)
else:
self.calculatedScore.append(-1)
self.calculateSentiment()
total = len(self.score)
print(total)
print(self.correctScore)
accuracy = (self.correctScore / float(total))
print(accuracy)
