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import tweepy | |
from textblob import TextBlob | |
# Step 1 - Authenticate | |
consumer_key= 'CONSUMER_KEY_HERE' | |
consumer_secret= 'CONSUMER_SECRET_HERE' | |
access_token='ACCESS_TOKEN_HERE' | |
access_token_secret='ACCESS_TOKEN_SECRET_HERE' | |
auth = tweepy.OAuthHandler(consumer_key, consumer_secret) | |
auth.set_access_token(access_token, access_token_secret) | |
api = tweepy.API(auth) | |
#Step 3 - Retrieve Tweets | |
public_tweets = api.search('Trump') | |
#CHALLENGE - Instead of printing out each tweet, save each Tweet to a CSV file | |
#and label each one as either 'positive' or 'negative', depending on the sentiment | |
#You can decide the sentiment polarity threshold yourself | |
for tweet in public_tweets: | |
print(tweet.text) | |
#Step 4 Perform Sentiment Analysis on Tweets | |
analysis = TextBlob(tweet.text) | |
print(analysis.sentiment) | |
print("") |