How to create a word cloud from a corpus in Python?

From Creating a subset of words from a corpus in R, the answerer can easily convert a term-document matrix into a word cloud easily.

Is there a similar function from python libraries that takes either a raw word textfile or NLTK corpus or Gensim Mmcorpus into a word cloud?

The result will look somewhat like this:

Solution 1:

from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
stopwords = set(STOPWORDS)

def show_wordcloud(data, title = None):
    wordcloud = WordCloud(
        background_color='white',
        stopwords=stopwords,
        max_words=200,
        max_font_size=40, 
        scale=3,
        random_state=1 # chosen at random by flipping a coin; it was heads
    ).generate(str(data))

    fig = plt.figure(1, figsize=(12, 12))
    plt.axis('off')
    if title: 
        fig.suptitle(title, fontsize=20)
        fig.subplots_adjust(top=2.3)

    plt.imshow(wordcloud)
    plt.show()

show_wordcloud(Samsung_Reviews_Negative['Reviews'])
show_wordcloud(Samsung_Reviews_positive['Reviews'])

Solution 2:

In case you require these word clouds for showing them in website or web app you can convert your data to json or csv format and load it to a JavaScript visualisation library such as d3. Word Clouds on d3

If not, Marcin's answer is a good way for doing what you describe.

Solution 3:

Example of amueller's code in action

In command-line / terminal:

sudo pip install wordcloud

Then run python script:

## Simple WordCloud
import matplotlib.pyplot as plt
from wordcloud import WordCloud, STOPWORDS 

text = 'all your base are belong to us all of your base base base'

def generate_wordcloud(text): # optionally add: stopwords=STOPWORDS and change the arg below
    wordcloud = WordCloud(font_path='/Library/Fonts/Verdana.ttf',
                          width=800, height=400,
                          relative_scaling = 1.0,
                          stopwords = {'to', 'of'} # set or space-separated string
                          ).generate(text)
    
    fig = plt.figure(1, figsize=(8, 4))
    plt.axis('off')
    plt.imshow(wordcloud)
    plt.axis("off")
    ## Pick One:
    # plt.show()
    plt.savefig("WordCloud.png")

generate_wordcloud(text)

Solution 4:

here is the short code

#make wordcoud

from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
stopwords = set(STOPWORDS)

def show_wordcloud(data, title = None):
    wordcloud = WordCloud(
        background_color='white',
        stopwords=stopwords,
        max_words=200,
        max_font_size=40, 
        scale=3,
        random_state=1 # chosen at random by flipping a coin; it was heads
    ).generate(str(data))

    fig = plt.figure(1, figsize=(12, 12))
    plt.axis('off')
    if title: 
        fig.suptitle(title, fontsize=20)
        fig.subplots_adjust(top=2.3)

    plt.imshow(wordcloud)
    plt.show()


if __name__ == '__main__':

    show_wordcloud(text_str)