Python Genism词组库不接受通用术语

我正在尝试使用Gensim.phrases库来识别文本中的短语

我使用了以下方法：

bigram = models.Phrases(txt_to_words,min_count=min_count, threshold=threshold,common_terms=common_terms)

我得到了一个错误：

<ipython-input-13-1c8b06a0b078> in words_to_phrases(txt_to_words, min_count, threshold)
     33     common_terms=["of", "with", "without", "and", "or", "the", "a","in","to","is","but"]
     34 
---> 35     bigram = models.Phrases(txt_to_words,min_count=min_count, threshold=threshold,common_terms=common_terms)
     36 
     37     # trigram

TypeError: __init__() got an unexpected keyword argument 'common_terms'

单词到短语（txt单词、最小计数、阈值）
33通用术语=[“of”、“with”、“without”、“and”、“or”、“the”、“a”、“in”、“to”、“is”、“but”]
34
--->35 bigram=models.Phrases（txt_to_words，min_count=min_count，threshold=threshold，common_terms=common_terms）
36
37#三元图
TypeError:\uuuu init\uuuuuuuuuuuuuuuuuuuuuu（）获得意外的关键字参数“common\u terms”

我有最新的gensim软件包2.0+

---

知道它为什么不识别公共术语参数吗？

嗯。。。最新版本是

3.4.0

。 尝试使用

pip安装-U gensim

更新

gensim

这个玩具示例适用于我：

from gensim.models.phrases import Phrases
txt_to_words = [['first', 'sentence'], ['and', 'second', 'sentence']]
common_terms = ["of", "with", "without", "and", "or", "the", "a","in","to","is","but"]
bigram = Phrases(txt_to_words, min_count=1, common_terms=common_terms)

---

有些事情真的很奇怪。我刚刚更新到gensim 3.4.0，但它仍然给出了相同的错误。其他人也有类似的问题，记录在。在

gensim3.1

之前，没有

通用术语

参数。奇怪的是更新并没有帮你解决这个问题。我可以看到，我在conda env中使用pip更新的当前gensim版本是3.4.0。但它仍然无法识别此参数，因此，当您在代码中运行

gensim.\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu？