Question

我正在尝试使用NLTK中的Vader情绪分析中的polarity_scores()，但它给了我错误：

polarity_scores（）缺少1个必需的位置参数：'text'

我完全是Python的初学者。感谢您的帮助！

from nltk.sentiment.vader import SentimentIntensityAnalyzer as sid
sentences=["hello","why is it not working?!"]
for sentence in sentences:
    ss = sid.polarity_scores(sentence)

Answer 1

SentimentIntensityAnalyzer是一个班级。您需要初始化SentimentIntensityAnalyzer的对象并在其上调用polarity_scores()方法。

from nltk.sentiment.vader import SentimentIntensityAnalyzer as SIA
sentences=["hello","why is it not working?!"]
sid = SIA()
for sentence in sentences:
    ss = sid.polarity_scores(sentence)

如果您还没有

，则可能需要下载词典文件

>>> import nltk
>>> nltk.download()
---------------------------------------------------------------------------
d) Download   l) List    u) Update   c) Config   h) Help   q) Quit
---------------------------------------------------------------------------
Downloader> d vader_lexicon
Downloader> q

Answer 2

您需要首先初始化SentimentIntensityAnalyzer对象，然后在该对象上调用polarity_scores方法。

尝试此代码：

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
sid = SentimentIntensityAnalyzer()

sentences=["hello","why is it not working?!"]
for sentence in sentences:
    ss = sid.polarity_scores(sentence) 
print (ss)

NLTK情绪维达：polarity_scores（文本）不起作用

2 个答案: