sentiment_analysis_top_100_songs.py

import pandas as pd
import time
from nltk.sentiment import SentimentIntensityAnalyzer

t0 = time.time()

top_100 = pd.read_csv('/Users/brit.cava/Desktop/TabPy/top100.csv')

text = top_100['Word']
sid = SentimentIntensityAnalyzer()
word_score_dict = {}

for word in text:
    ss = sid.polarity_scores(word)
    word_score_dict[word]=(ss['compound'])

t1 = time.time()

total = t1-t0

print(total)
    
df = pd.DataFrame(list(word_score_dict.iteritems()), columns=['word','score'])


df.to_csv("/Users/brit.cava/Desktop/Scores.csv", index=False, cols=('word','score'))