Sentiment Analysis con Python
Violeta Misheva
Data Scientist

Più una parola è frequente, più sarà GRANDE e in grassetto nella word cloud.

from wordcloud import WordCloud
import matplotlib.pyplot as plt
two_cities = "It was the best of times, it was the worst of times,
it was the age of wisdom, it was the age of foolishness,
it was the epoch of belief, it was the epoch of incredulity,
it was the season of Light, it was the season of Darkness,
it was the spring of hope, it was the winter of despair,
we had everything before us, we had nothing before us,
we were all going direct to Heaven, we were all going
direct the other way – in short, the period was so far
like the present period, that some of its noisiest
authorities insisted on its being received, for good
or for evil, in the superlative degree of comparison only."
cloud_two_cities = WordCloud().generate(two_cities)
# Per vedere tutti gli argomenti della funzione
?WordCloud
# Com'è cloud_two_cities?
cloud_two_cities
<wordcloud.wordcloud.WordCloud at 0x2585f286d68>
plt.imshow(cloud_two_cities, interpolation='bilinear')
plt.axis('off')
plt.show()

Sentiment Analysis con Python