Python Word Cloud "Chinese/English" small white Simple Introductory tutorial

1. Analysis

Building a word cloud requires:

• Raw materials, articles and other content
• Word Segmentation for Content
• Build a word-cloud-based tool for post-segmentation content
• Save as Picture

2. The main modules needed

• Jieba Chinese participle
• Wordcloud Building a word cloud

3. Module principle

The realization principle of Wordcloud

• Text preprocessing
• Word Frequency statistics
• Color rendering of high-frequency words in picture form

The realization principle of Jieba

• Chinese word segmentation (with multiple modes) "Details"

4. English word Cloud

English participle and build word cloud only need Wordcloud module

The specific implementation is as follows:

1  fromWordcloudImportWordcloud2  3String ='importance of relative word frequencies for font-size. With relative_scaling=0, only word-ranks is considered. With Relative_scaling=1, a word, which is twice as frequent would have twice the size. If you want to consider the word frequencies and is only their rank, relative_scaling around. 5 often looks good.'4Font = R'C:\Windows\Fonts\FZSTK.TTF'5WC = Wordcloud (Font_path=font,#If it is Chinese must add this, otherwise it will be displayed as a box6Background_color=' White',7width=1000,8height=800,9 ). Generate (String)TenWc.to_file ('Ss.png')#Save Picture

5. Chinese participle

The specific implementation is as follows:

1 Import  2 cut = jieba.cut (text)  #text for the string you need to participle/sentence 3'  '. Join (cut)  # connect separate words with spaces

6. Chinese word Cloud

Chinese word cloud requires Jieba and Wordcloud modules

The specific implementation is as follows:

1 ImportJieba2  fromWordcloudImportWordcloud3  fromPILImportImage4 ImportNumPy as NP5 6Font ='Hwkt.ttf'7Content = (Open ('Job Requirements-txt','R', encoding='Utf-8') . Read ()8Cut =jieba.cut (content)9Cut_content =' '. Join (cut)Tenimg = Image.open ('22.png')#what pictures to display OneImg_array = Np.array (IMG)#convert a picture to an array A  -WC =Wordcloud ( -Background_color=' White', theMask=img_array,#if not, the default picture is generated -Font_path=font#Chinese word segmentation must have Chinese font settings - ) -Wc.generate_from_text (cut_content)#Drawing Pictures +Wc.to_file ('New.png')#Save Picture

7. Achieving results

The English word cloud achieves the following results:

The Chinese word cloud achieves the following results:

Python Word Cloud "Chinese/English" small white Simple Introductory tutorial