Making word coulds is pretty easy. I'm using the wordcloud module for this.

import re
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator

First, I open the text file. Then I count the occurrance of each word in that text, excluding stopwords. And then with the help of the wordcloud module, I draw the cloud. And that's it!

def draw_wordcloud(filename):
    file = open(filename, encoding="utf8")
    text = file.read()
    file.close()

    stopwords = set(STOPWORDS)
    stopwords.add('will') # also add 'will' into stopwords

    wordcount = {}

    for word in text.lower().split():
        word = re.sub(r'\.|,|:|!|\?|\(|\)|\*|\/', '', word)
        if word not in stopwords:
            if word not in wordcount:
                wordcount[word] = 1
            else:
                wordcount[word] += 1

    wordcloud = WordCloud(stopwords=stopwords,
                          background_color="white",
                          width=2000, height=1000).generate(text)

    plt.figure(figsize=(20,40))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis("off")
    plt.savefig(filename.replace("txt", "") + "png", bbox_inches='tight', dpi=200)
    plt.show()

draw_wordcloud("bush-2001.txt")

draw_wordcloud("bush-2005.txt")

draw_wordcloud("obama-2009.txt")

draw_wordcloud("obama-2013.txt")

draw_wordcloud("trump-2017.txt")