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analysis.py
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analysis.py
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import csv
from collections import Counter
from collections import defaultdict
def compute(filename):
# Initialize variables for counter.
Positive = 0
Negative = 0
Neutral = 0
# Iterations to retrieve sentiments in row 7 note: 0-indexing
with open(filename, 'r') as csvfile:
reader = csv.reader(csvfile)
for row in reader:
csv_words = row[6].split(' ')
for i in csv_words:
if "Positive_Tweet" in csv_words:
#Positive.append(i)
Positive += 1
elif "Negative_Tweet" in csv_words:
#Negative.append(i)
Negative += 1
elif "Neutral_Tweet" in csv_words:
#Neutral.append(i)
Neutral += 1
# Initializing the Variables for percentage computations.
Total = Positive + Negative + Neutral
pos = (Positive / Total) * 100
neg = (Negative / Total) * 100
neut = (Neutral / Total) * 100
return [pos, neg, neut]