python - 从文本中剥离专有名词

Question

我有一个包含几千行文本数据的 df。我正在使用 spaCy 在该 df 的单个列上执行一些 NLP，并尝试使用以下方法从我的文本数据中删除专有名词、停用词和标点符号:

tokens = []
lemma = []
pos = []

for doc in nlp.pipe(df['TIP_all_txt'].astype('unicode').values, batch_size=9845,
                        n_threads=3):
    if doc.is_parsed:
        tokens.append([n.text for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
        lemma.append([n.lemma_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
        pos.append([n.pos_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
    else:
        tokens.append(None)
        lemma.append(None)
        pos.append(None)

df['s_tokens_all_txt'] = tokens
df['s_lemmas_all_txt'] = lemma
df['s_pos_all_txt'] = pos

df.head()

但是我得到了这个错误，我不确定为什么:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-34-73578fd46847> in <module>()
      6                         n_threads=3):
      7     if doc.is_parsed:
----> 8         tokens.append([n.text for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
      9         lemma.append([n.lemma_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
     10         pos.append([n.pos_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])

<ipython-input-34-73578fd46847> in <listcomp>(.0)
      6                         n_threads=3):
      7     if doc.is_parsed:
----> 8         tokens.append([n.text for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
      9         lemma.append([n.lemma_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])
     10         pos.append([n.pos_ for n in doc if not n.is_punct and not n.is_stop and not n.is_space and not n.is_propn])

AttributeError: 'spacy.tokens.token.Token' object has no attribute 'is_propn'

如果我取出 not n.is_propn，代码将按预期运行。我用谷歌搜索并阅读了 spaCy 文档，但到目前为止还没有找到答案。

Answer 1

我没有在 Token object 上看到可用的 is_propn 属性.

我认为您应该将词性类型检查为PROPN ( reference ):

from spacy.parts_of_speech import PROPN

def is_proper_noun(token):
    if token.doc.is_tagged is False:  # check if the document was POS-tagged
        raise ValueError('token is not POS-tagged')

    return token.pos == PROPN