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()notinstop_words]filtered_text=' '.join...
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...
from nltk.corpus import stopwords stop = stopwords.words('english') pos_tweets = [('I love this car', 'positive'), ('This view is amazing', 'positive'), ('I feel great this morning', 'positive'), ('I am so excited about the concert', 'positive'), ('He is my best friend', ...
146 How to remove stop words using nltk or python 0 stopword removal using python 1 Removing Stopwords in Python 0 Stopwords Removal with Python 1 Removing stopwords with Python - quickly and efficiently 1 removing custom stop words form a phrase in python 0 Removing stopwords from lis...
# 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_...
这就是我的想法:方法1,我尝试遍历停用词列表,并从tw_line中删除所有人 # loop through the stop words list, and remove each one from the splitted line list for line in stopwords: if line in words: words.remove(line) continue print (tw_line) 结果:没有删除任何停用词。 0 my wh 浏览0提问于...
stop_words = set(stopwords.words('english')) word_tokens = word_tokenize(sentence) filtered_sentence = [w for w in word_tokens if not w in stop_words] return' '.join(filtered_sentence) 方法2: Gensim from gensim.parsing.preprocessing import remove_stopwords ...
'distributed'] # for stop_word in stop_words: # f = f.replace(stop_word, '') # return f # # # 生成词云 # def create_word_cloud(f): # print('根据词频,开始生成词云!') # f = remove_stop_words(f) # cut_text = " ".join(jieba.cut(f,cut_all=False, HMM=True)) # wc =...
stop_words = set(stopwords.words('english')) 定义一个函数,用于删除不在NLTK停用词库中的停用词: 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 def remove_stopwords(text): tokens = text.split() filtered_tokens = [word for word in tokens if word...
Defaults.stop_words |= {"my_new_stopword1","my_new_stopword2",} 要删除单个停用词: import spacy nlp = spacy.load("en") nlp.Defaults.stop_words.remove("whatever") 一次删除多个停用词: import spacy nlp = spacy.load("en") nlp.Defaults.stop_words -= {"whatever", "whenever"} ...