This program will fetch tweets from you Twitter timeline and generate a wordcloud

wordcloud.py

import tweepy
from wordcloud import WordCloud
import matplotlib.pyplot as plt


consumer_key = ''
consumer_secret = ''
access_token = ''
access_token_secret = ''

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)


def parse(tweet):
    return {
        'author': tweet.author.screen_name,
        'created_at': tweet.created_at.isoformat(),
        'likes': tweet.favorite_count,
        'retweets': tweet.retweet_count,
        'text': tweet.text
    }


def fetch():
    data = []
    ctr = 1
    for tweet in tweepy.Cursor(api.home_timeline).items():
        print(ctr, 'Fetched tweet:', tweet.text)
        data.append(parse(tweet))
        ctr += 1
    return data


def clean_tweets(tweets):
    data = []

    for t in tweets:
        text = t['text'].lower().replace('.', '').replace("'", '')

        clean = []
        for w in text.split():
            if w.startswith('@') or w.startswith('https://'):
                continue

            word = w
            for c in '.,!@#$%^&*()-_+=/?<>:;|':
                word = word.strip(c)

            clean.append(word)

        t['text'] = ' '.join(clean)

        data.append(t)
    return data
    
    
def word_cloud(tweets):
    cleaned = clean_tweets(tweets)
    text = ' '.join((t['text'] for t in cleaned))

    cloud = WordCloud(background_color="white", max_words=1000).generate(text)
    plt.imshow(cloud, interpolation='bilinear')
    plt.axis("off")
    plt.show()
    
    
def main():
    tweets = fetch()
    word_cloud(tweets)