nltk.download('stopwords') 1. 2. 3. 接下来,我们可以使用NLTK库中的停用词列表来去除停用词: fromnltk.corpusimportstopwordsfromnltk.tokenizeimportword_tokenizedefremove_stopwords(text):stop_words=set(stopwords.words('english'))tokens=word_tokenize(text)filtered_tokens=[wordforwordintokensifword.lower(...
有了停用词列表后,我们可以编写函数去除文本中的停用词。 defremove_stopwords(text):words=text.split()filtered_words=[wordforwordinwordsifword.lower()notinstop_words]return' '.join(filtered_words) 1. 2. 3. 4. 4. 示例 现在让我们来看一个示例,假设我们有一段文本需要去除停用词。 text="This is...
return filtered_text # 将文本规范化函数组合形成流水线 def normalize_corpus(corpus,tokenize = False): normalized_corpus = [] for text in corpus: text = expand_contractions(text,CONTRACTION_MAP) text = lemmatize_text(text) text = remove_special_characters(text) text = remove_stopwords(text) no...
# 定义删除停用词函数 def remove_stopwords(tokens): # 加载英文停用词列表 stopwprd_list = nltk.corpus.stopwords.words('english') filtered_tokens = [token for token in tokens if token not in stopwprd_list] return filtered_tokens # 使用上一节获得的expanded_corpus,然后删除停用词 expanded_corpus_...
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I am trying to read in all of the files in a directory, access a file with stopwords, go through each file, remove the stopwords from each file, and then generate a copy of all of the files with the stopwords removed. I am able to read in all of the files and also print them as...
clean_text是一个用于处理文本的简单函数。我们将使用nltk.copus获得英语停止词,并使用它来过滤掉文本行中的停止词。之后,我们将删除句子中的特殊字符和多余的空格。它将成为确定串行、并行和批处理的处理时间的基准函数。 defclean_text(text):# Remove stop wordsstops = stopwords.words("english")text =" "....
filtered_text = remove_stopwords(text) print(filtered_text) 输出结果将是不包含NLTK停用词的文本: 抱歉,当前编辑器暂不支持代码块标记为txt语言,您可操作将代码块语言设置为txt 代码语言:txt 复制 This example sentence stopwords. NLTK(Natural Language Toolkit)是一个常用的自然语言处理库,它提供了丰富的语料...
defadd_new_words():# 增加新词foriinnew_words:jieba.add_word(i)defremove_stopwords(ls):# 去除停用词return[wordforwordinlsifword notinstopwords]defreplace_synonyms(ls):# 替换同义词return[synonyms[i]ifiinsynonymselseiforiinls]documents=['足协申请取消女足奥预赛韩国主场比赛 公平原则保障安全','芬森...
It backs away from crude keyboarding and takes a fresher step with grate\ guitars and soulful orchestras.\ It would impress anyone who cares to listen!'] # Remove stop words stopwords = set(stopwords.words('english')) output = []