extract_tweets_by_user

import tweepy
from textblob import TextBlob

consumer_key = "CENSORED PRIVATE INFORMATION"
consumer_secret = "CENSORED PRIVATE INFORMATION"
access_key = "CENSORED PRIVATE INFORMATION"
access_secret = "CENSORED PRIVATE INFORMATION"

# API's setup:
def twitter_setup():
    """
    Utility function to setup the Twitter's API
    with our access keys provided.
    """
    # Authentication and access using keys:
    auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_key, access_secret)

    # Return API with authentication:
    api = tweepy.API(auth)
    return api

def define_polarity(string):
    analyze_polar = TextBlob(string).sentiment.polarity
    if analyze_polar > 0:
        return "positive"
    elif analyze_polar == 0:
        return "neutral"
    else:
        return "negative"
    
def extract_tweets(twitter_handle):
# We create a tweet list as follows:
    extractor = twitter_setup()
    
    # We create a tweet list as follows:
    tweets = extractor.user_timeline(screen_name=twitter_handle, count=200)
    print("Number of tweets extracted: {}.\n".format(len(tweets)))
    
    # We print the most recent 5 tweets:
    #for tweet in tweets[:200]:
    #    print(tweet.text)
    #    print()
    #    
    for i in range(10):
        print(tweets[i].id)
        print(tweets[i].created_at)
        print(tweets[i].text, define_polarity(tweets[i].text))
        print()

extract_tweets("realdonaldtrump")