Skip to content

Instantly share code, notes, and snippets.

Embed
What would you like to do?
import csv
import numpy as np
from nltk.sentiment.vader import SentimentIntensityAnalyzer
from nltk import tokenize
name = []
review = []
sid = SentimentIntensityAnalyzer()
target = open("output_1.csv", 'w')
target.write("Name")
target.write(",")
target.write("Review")
target.write(",")
target.write("compound")
target.write(",")
target.write("positive")
target.write(",")
target.write("neutral")
target.write(",")
target.write("negative")
target.write("\n")
with open('daa.csv') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
name = row['key']
lines_list = tokenize.sent_tokenize(row['value'])
pos_rate = []
neu_rate = []
neg_rate = []
compound_rate = []
for sentence in lines_list:
ss = sid.polarity_scores(sentence)
compound_rate = ss['compound']
pos_rate = ss['pos']
neu_rate = ss['neu']
neg_rate = ss['neg']
compound = np.mean(compound_rate)
pos = np.mean(pos_rate)
neg = np.mean(neg_rate)
neu = np.mean(neu_rate)
target.write(row['key'])
target.write(",")
target.write(row['value'])
target.write(",")
target.write(str(compound))
target.write(",")
target.write(str(pos))
target.write(",")
target.write(str(neu))
target.write(",")
target.write(str(neg))
target.write("\n")
print(compound,pos,neg,neu)
target.close()
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.