Prepare word dictionary (vocab) and TF-IDF

#All words(Below is an example)
$ vocab
array(['a', 'able', 'at', ..., 'zebra', 'zone', 'zoo'], dtype='<U79')

#TF for each document-IDF vector
$ TF_IDF
array([[ 0.        ,  0.        ,  0.        , ...,  0.        ,
         0.        ,  0.        ],
       [61.9792226 ,  0.        ,  3.38385083, ...,  0.        ,
         0.        ,  0.        ],
       [ 0.        ,  0.        ,  6.76770166, ...,  0.        ,
         0.        ,  0.        ],
       ...,
       [ 0.        ,  0.        ,  0.        , ...,  0.        ,
         0.        ,  0.        ],
       [ 2.75463212,  0.        ,  0.        , ...,  0.        ,
         0.        ,  0.        ],
       [ 1.37731606,  2.84060202,  0.        , ...,  0.        ,
         0.        ,  0.        ]])

Create dic [word] = vec

words = vocab.tolist()
vecs = TF_IDF.tolist()
temp_dic = {}
vecs_dic = []
for vec in vecs:
    for i in range(len(vec)):
        temp_dic[words[i]] = vec[i] 
    vecs_dic.append(temp_dic)
    temp_dic = {}

$ len(vecs_dic)
(Number of documents)

$ len(vecs_dic[0])
(Number of dimensions of vector)

Visualization

#Visualize the 89th document from the document list
from wordcloud import WordCloud
import matplotlib.pyplot as plt
import sys

wordcloud = WordCloud(background_color='white', width=1024, height=674)
wordcloud.generate_from_frequencies(vecs_dic[88])
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
plt.figure()
plt.show()

If you get a Zero Division Error in Word Cloud

Solved by adding small values with reference to reference [2]

words = vocab.tolist()
vecs = TF_IDF.tolist()
temp_dic = {}
vecs_dic = []
for vec in vecs:
    for i in range(len(vec)):
        temp_dic[words[i]] = vec[i] + 1e-5 #Prevent the element from becoming 0
    vecs_dic.append(temp_dic)
    temp_dic = {}

Create and save images for each document

To save it, add wordcloud.to_file and change it as follows.

i=0
for v in vecs_dic:
  i+=1
  wordcloud = WordCloud(background_color='white', width=1024, height=674)
  wordcloud.generate_from_frequencies(v)
  wordcloud.to_file([PATH] + str(i) + ".png ")

References

[1] https://qiita.com/pma1013/items/d183b4b2504173ba037e [2] https://github.com/amueller/word_cloud/issues/456