python - TypeError:classify()缺少1个必需的位置参数:“featureset”

下面是我调用方法classify（）的代码：

def sentiment(text):
    feats = find_features(text)
    return voted_classifier.classify(feats),voted_classifier.confidence(feats)

find_features（）方法的定义：

def find_features(document):
    words = word_tokenize(document)
    features = {}
    for w in word_features:
        features[w] = (w in words)

    return features

我得到错误：

TypeError: classify() missing 1 required positional argument: 'featureset'

其中featuresets是：

featuresets_f = open("pickled_algos/featuresets.pickle", "rb")
featuresets = pickle.load(featuresets_f)
featuresets_f.close()

random.shuffle(featuresets)
print(len(featuresets))

testing_set = featuresets[8000:]
training_set = featuresets[:8000]

（注：我正在Ubuntu 14.04上使用Python 3.4和nltk进行twitter情感分析）

最佳答案

我怀疑你没有训练你的分类器。请注意以下错误：

>>> from nltk import NaiveBayesClassifier  # for example
>>> NaiveBayesClassifier.classify(feats)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: classify() missing 1 required positional argument: 'featureset'

你需要先训练它：

>>> classifier = NaiveBayesClassifier.train(training_set)

然后可以对特征进行分类：

>>> classifier.classify(feats)  # feats == a dict of features