创建 python 词云时如何对多词术语进行分组？

Question

我正在尝试使用 python 从成分列表中创建词云，其中一些成分的名称中有多个单词。我希望 wordcloud 将这些名称视为单个元素，但我不知道如何实现。例如：

import wordcloud as w
import numpy as np
import matplotlib.pyplot as plt

ingredients = ['cabernet sauvignon', 'apple', 'black pepper',
             'rice', 'smoked salmon',
             'dried tomato', 'butter', 'mushroom', 'goat cheese']
frequencies = [55, 83, 33, 42, 19, 23, 5, 69, 1]

# Wordcloud asks for a string, and I have tried separating the terms with ',' and '~'

text = ''
for i, word in enumerate(ingredients):
    text = text + frequencies[i] * (word + ',') 

wordcloud = w.WordCloud(collocations = False).generate(text)

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

生成的词云如下。但是，例如，我希望术语 "cabernet sauvignon" 只显示为一个词。

https://i.imgur.com/ljXk8T6.png

Answer 1

以 {phrase: count, ...} 的形式创建一个 dict 并使用 generate_from_frequencies:

d = dict(zip(ingredients, frequencies))
wordcloud = w.WordCloud(collocations=False).generate_from_frequencies(d)

创建 python 词云时如何对多词术语进行分组？

How can I group multi-word terms when creating a python wordcloud?

python

text

visualization