Twitter Sentiment Analysis using Python

import re

import tweepy

from tweepy import OAuthHandler

from textblob import TextBlob

class TwitterClient(object):

    def __init__(self):

        consumer_key = 'XXXXXXXXXXXXXXXXXXXXXXXX'

        consumer_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX'

        access_token = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX'

        access_token_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXX'

        try:

            self.auth = OAuthHandler(consumer_key, consumer_secret)

            self.auth.set_access_token(access_token, access_token_secret)

            self.api = tweepy.API(self.auth)

        except:

            print("Error: Authentication Failed")

    def clean_tweet(self, tweet):

        return ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])

                                    |(\w+:\/\/\S+)", " ", tweet).split())

    def get_tweet_sentiment(self, tweet):

        analysis = TextBlob(self.clean_tweet(tweet))

        if analysis.sentiment.polarity > 0:

            return 'positive'

        elif analysis.sentiment.polarity == 0:

            return 'neutral'

        else:

            return 'negative'

    def get_tweets(self, query, count = 10):

        tweets = []

        try:

            fetched_tweets = self.api.search(q = query, count = count)

            for tweet in fetched_tweets:

                parsed_tweet = {}

                parsed_tweet['text'] = tweet.text

                parsed_tweet['sentiment'] = self.get_tweet_sentiment(tweet.text)

                if tweet.retweet_count > 0:

                    if parsed_tweet not in tweets:

                        tweets.append(parsed_tweet)

                else:

                    tweets.append(parsed_tweet)

            return tweets

        except tweepy.TweepError as e:

            print("Error : " + str(e))

def main():

    api = TwitterClient()

    tweets = api.get_tweets(query = 'Donald Trump', count = 200)

    ptweets = [tweet for tweet in tweets if tweet['sentiment'] == 'positive']

    print("Positive tweets percentage: {} %".format(100*len(ptweets)/len(tweets)))

    ntweets = [tweet for tweet in tweets if tweet['sentiment'] == 'negative']

    print("Negative tweets percentage: {} %".format(100*len(ntweets)/len(tweets)))

    print("Neutral tweets percentage: {} % \

        ".format(100*(len(tweets) -(len( ntweets )+len( ptweets)))/len(tweets)))

    print("\n\nPositive tweets:")

    for tweet in ptweets[:10]:

        print(tweet['text'])

    print("\n\nNegative tweets:")

    for tweet in ntweets[:10]:

        print(tweet['text'])

if __name__ == "__main__":

    main()