我应该使用Python3.4的NLTK (情感分析)来分析莎士比亚的文本。但是我得到了这个错误信息:
**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'**下面是我的代码:
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))发布于 2014-11-29 22:07:35
map使用一个参数(在本例中是一个字符串列表)调用函数。您需要调整lambda以获取一个参数:
afinn = dict(map(lambda item: (item[0], int(item[1])),
[ line.split('\t') for line in open("AFINN-96.txt") ])) 另一种使用dict-comprehension的方法:
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。覆盖它可以防止您使用内置函数/类型dict。
https://stackoverflow.com/questions/27203090
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