如何从 Python 中的语料库创建词云？
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How to create a word cloud from a corpus in Python?
提问by alvas
From Creating a subset of words from a corpus in R, the answerer can easily convert a term-document matrixinto a word cloud easily.
通过从R 中的语料库创建单词子集，回答者可以轻松地将 a 轻松转换term-document matrix为词云。
Is there a similar function from python libraries that takes either a raw word textfile or NLTKcorpus or GensimMmcorpus into a word cloud?
python 库中是否有类似的函数可以将原始单词文本文件或NLTK语料库或GensimMmcorpus 转换为词云？
The result will look somewhat like this:
结果看起来有点像这样：
采纳答案by Marcin
Here's a blog post which does just that: http://peekaboo-vision.blogspot.com/2012/11/a-wordcloud-in-python.html
这是一篇做到这一点的博客文章：http: //peekaboo-vision.blogspot.com/2012/11/a-wordcloud-in-python.html
The whole code is here: https://github.com/amueller/word_cloud
整个代码在这里：https: //github.com/amueller/word_cloud
回答by valentinos
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
如果您需要这些词云在网站或 Web 应用程序中显示它们，您可以将数据转换为 json 或 csv 格式并将其加载到 JavaScript 可视化库，例如d3。d3 上的词云
If not, Marcin's answer is a good way for doing what you describe.
如果没有，Marcin 的回答是执行您所描述的操作的好方法。
回答by MyopicVisage
Example of amueller's code in action
amueller 代码示例
In command-line / terminal:
在命令行/终端中：
sudo pip install wordcloud
Then run python script:
然后运行python脚本：
## 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, heigh=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)
回答by HeadAndTail
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'])
回答by Ujjawal107
here is the short code
这是短代码
#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)
