我试图运行以下nltk.concordance代码，但它没有给出任何结果。有人能告诉我我做错了什么吗？
import nltk.corpus
from nltk.text import Text
sent = '''China is an emerging FinTech hotbed thanks to its expanding middle class, rapid digitization and electronic payments adoption. But a new report from Citi found that, while China may be the market to watch for FinTech investments, the U.S. continues to thrive at the top of the B2B FinTech mountain.
According to Digital Disruption — Revisited: What FinTech VC Investments Tells Us About A Changing Industry, Citi expects an influx in venture capital across the FinTech startup scape. But not all markets are created equal. China saw more than half of the world’s FinTech investments in the first nine months of 2016, the bank noted.'''
content = sent.decode('utf-8') #else it throws error
textList = Text(content)
textList.concordance('FinTech')
我得到以下输出：
No matches
TIA需要帮助
最佳答案
必须从字符串序列创建Text实例。使用Tokenizerfromnltk.tokenize标记句子：
> t = nltk.tokenize.WhitespaceTokenizer() # or any other Tokenizer
> c = Text(t.tokenize(content))
> c.concordance(u'FinTech')
Displaying 6 of 6 matches:
FinTech hotbed thanks to its expanding midd
hina may be the market to watch for FinTech investments, the U.S. continues to
ues to thrive at the top of the B2B FinTech mountain. According to Digital Disr
igital Disruption — Revisited: What FinTech VC Investments Tells Us About A Cha
nflux in venture capital across the FinTech startup scape. But not all markets
a saw more than half of the world’s FinTech investments in the first nine month
关于python - NLTK协调不起作用，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/42179322/