ws = {}data = 'Some long text'train_corpus= [token.text for token in train_corpus if not token.is_stop and len(token) > 4]
test_corpus = nlp('编辑:ae = nlp(train_corpus).simil
我试图通过删除非拉丁字符+ [!?., ]来降低在线文本的复杂性。大多数字符都可以毫无问题地删除,但对于其中一些字符,我需要特定的规则:but *after* I came up with it, I searched and...but after I came up with it, I searched and... *buys airplane ticket* IM COMING