小编Sil*_*ver的帖子

我写了一个文本分类程序。当我运行该程序时，它会崩溃并显示错误，如下面的屏幕截图所示：

ValueError：当 n_samples=0、test_size=0.2 和 train_size=None 时，生成的训练集将为空。调整上述任何参数。

这是我的代码：

from sklearn.model_selection import train_test_split
from gensim.models.word2vec import Word2Vec
from sklearn.preprocessing import scale
from sklearn.linear_model import SGDClassifier
import nltk, string, json
import numpy as np

def cleanText(corpus):
    reviews = []
    for dd in corpus:
        #for d in dd:
        try:
            words = nltk.word_tokenize(dd['description'])
            words = [w.lower() for w in words]
            reviews.append(words)
            #break
        except:
            pass
    return reviews

with open('C:\\NLP\\bad.json') as fin:
    text = json.load(fin)
    neg_rev = cleanText(text)

with open('C:\\NLP\\good.json') as fin:
    text = json.load(fin)
    pos_rev = …