我们来做一个词云!

Python 中的情感分析

Violeta Misheva

Data Scientist

词云示例

黑色背景的词云示例

Python 中的情感分析

词云如何工作?

 

词出现越频繁,在词云中就会越大、越醒目

Python 中的情感分析
  • 由一条较长评论生成的词云

圆形词云,来自一条关于泰坦尼克号的评论

Python 中的情感分析

为什么用词云?

优点
  • 能凸显关键信息
  • 提供文本整体印象
  • 易懂且有吸引力
缺点

  • 有时易混淆、信息量不足
  • 文本越大,调优工作越多
Python 中的情感分析

用 Python 构建词云!

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."
Python 中的情感分析

定义 WordCloud 对象

cloud_two_cities = WordCloud().generate(two_cities)
# 查看函数的全部参数
?WordCloud
  • 背景颜色
  • 词的大小、字体与缩放
  • 停用词
# cloud_two_cities 长什么样?
cloud_two_cities
<wordcloud.wordcloud.WordCloud at 0x2585f286d68>
Python 中的情感分析

显示词云!

plt.imshow(cloud_two_cities, interpolation='bilinear')
plt.axis('off')
plt.show()

黑色背景的词云,来自《双城记》开头句子

Python 中的情感分析

让我们练习!

Python 中的情感分析

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