def create_word_cloud():
""" create the cloud of word with wordcloud_fa module"""
# mask.jpg is a image in black and white picture that word will write in that
mask_array = np.array(Image.open("mask.jpg"))
wc = WordCloudFa(persian_normalize=True,
include_numbers=False,
mask=mask_array,
background_color="white",
collocations=False)
with open('telegramtxt.txt', 'r') as file:
text = file.read()
frequencies = wc.process_text(text)
avr = 0
count = 0
frequencies = {k: v for k, v in frequencies.items() if v > 1}
for k, v in frequencies.items():
count += 1
avr += v
avr = avr // count
print(f'avr of word count : {avr}')
frequencies = {k: v for k, v in frequencies.items() if v > avr}
frequencies = {
k: v
for k, v in sorted(
frequencies.items(), key=lambda item: item[1], reverse=True)
}
word_cloud = wc.generate_from_frequencies(frequencies)
image = word_cloud.to_image()
image.save('cloud.png')
def create_word_clod(all_cluster_hashtags, path):
'''
:param all_cluster_hashtags: something like :list of Counter() ,each Counter have hashtags with
the number of that hashtag in that cluster
:return:
'''
for i, hashtags in enumerate(all_cluster_hashtags):
wodcloud = WordCloudFa()
wc = wodcloud.generate_from_frequencies(
dict(hashtags.most_common()[0:5]))
image = wc.to_image()
# image.show()
image.save('{0}/cluster_{1}.png'.format(path, i))
text = text.translate(str.maketrans(' ', ' ', "\n"))
word_list = WordTokenizer().tokenize(text)
stop_words = stopwords.words('english')
punctuations = list(string.punctuation)
words = [
word.strip() for word in word_list if word not in stop_words
and word not in stop_words_main and word not in punctuations
]
text = ""
for x in words:
text += x + " "
# alice = np.array(Image.open("mask.png"))
word_cloud = WordCloudFa(persian_normalize=True,
width=2000,
height=2000,
margin=20,
repeat=False,
max_words=500)
frequencies = word_cloud.process_text(text)
wc = word_cloud.generate_from_frequencies(frequencies)
fig = plt.figure(figsize=(20, 20), facecolor=None)
plt.figure()
plt.imshow(word_cloud)
plt.axis('off')
plt.savefig('WordsCloud.png', dpi=2000, transparent=True)
plt.show()