请问停用词过滤txt没起作用怎么办？

Question

以下是我的代码：

import jieba
import os
import warnings
warnings.filterwarnings('ignore')  
from gensim.corpora.dictionary import Dictionary
from gensim.models.ldamodel import LdaModel
from wordcloud import WordCloud
import matplotlib.pyplot as plt

textfile=input("输入文本文件名：")
num_topics=int(input("话题数："))
f=open(textfile, "r",encoding="utf-8")
lines=f.readlines()
f.close()

stoplist=open(r'C:\Users\26552\Desktop\stopword.txt','r',encoding="utf-8").read()
stoplist = set(w.strip() for w in stoplist)

segtexts=[]
for line in lines:
    doc=[]
    for w in list(jieba.cut(line,cut_all=True)):
        if len(w)>1 and w not in stoplist:
            doc.append(w)
    segtexts.append(doc)
dictionary = Dictionary(segtexts)
dictionary.filter_extremes(2,1.0,keep_n=1000)
corpus = [dictionary.doc2bow(text) for text in segtexts]
lda = LdaModel(corpus,id2word=dictionary, num_topics=num_topics)
topics=lda.print_topics(num_topics=num_topics,num_words=10)
print(topics)

font = r'C:\Users\26552\Desktop\simfang.ttf'
wc=WordCloud(collocations=False, font_path=font, width=2800, height=2800, max_words=20,margin=2)
for topicid in range(0,num_topics):
    tlist=lda.get_topic_terms(topicid, topn=20)
    
    wdict={} 
    for wv in tlist:
        wdict[ dictionary[wv[0]]]=wv[1]
    print(wdict)
    wordcloud = wc.generate_from_frequencies(wdict)
    wordcloud.to_file('topic_'+str(topicid)+'.png')  

这是停用词文本文档：

路径没有问题，请问老哥们，是我的代码哪里出问题了吗？

如能指正，不胜感激！

Answer 1

问题出在这行stoplist = set(w.strip() for w in stoplist)，stoplist是从文件中读取出来的字符串，不是列表，遍历取出的是单个字符，不是停用词，所以后面停用词过滤失效。这样改一下就行了：

stoplist = set(w for w in stoplist.split('\n'))#对停用词文本按行分割成列表，每个元素就是停用词
#或者直接用列表更简洁：
stoplist = [w for w in stoplist.split('\n')]

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