Question

我应该使用python 3.4使用NLTK（情绪分析）分析莎士比亚文本。但我收到此错误消息：

**Traceback (most recent call last):
  File "C:\Users\HAMIMOUNE\AppData\Roaming\nltk_data\shakespeare.py", line 8, in <module>
    [ line.split('\t') for line in open("AFINN-96.txt") ]))
TypeError: <lambda>() missing 1 required positional argument: 'v'**

这是我的代码：

from nltk.corpus import shakespeare
from collections import defaultdict
import json
hamlet = shakespeare.xml('hamlet.xml')
speeches = hamlet.findall('.//SPEECH')
prevSpeaker =  speeches[0].find('SPEAKER').text
afinn = dict(map(lambda k,v: (k,int(v)), 
                [ line.split('\t') for line in open("AFINN-96.txt") ])) 

dict = defaultdict(lambda: defaultdict(lambda: 0))
for speech in speeches:
    speaker = speech.find('SPEAKER').text
    lines = "\n".join(line.text for line in speech.findall('LINE') if line.text is not None)
    sentiment = sum(map(lambda word: afinn.get(word, 0), lines.lower().split()))
    dict[speaker][prevSpeaker] += sentiment
    prevSpeaker = speaker
print(json.dumps(dict, sort_keys=True, indent=4))

Answer 1

map使用参数调用函数（在本例中为字符串列表）。您需要调整lambda以获取参数：

afinn = dict(map(lambda item: (item[0], int(item[1])), 
                 [ line.split('\t') for line in open("AFINN-96.txt") ]))

替代使用dict-comprehension：

afinn = {k: int(v) for k, v in
         [line.split('\t') for line in open("AFINN-96.txt")]}

顺便说一句，不要使用dict作为变量名。覆盖它会阻止您使用内置函数/类型dict。

python中的Lambda参数函数

1 个答案: