python对journey_to_the_west.txt的网络文本，进行分词、停用词过滤、词频统计

好的，我可以帮你使用Python对《西游记》进行分词、停用词过滤和词频统计。不过需要先下载停用词表。

步骤如下：

1. 下载停用词表，可以从中文自然语言处理工具包NLTK中下载，也可以在GitHub上找到。这里我使用的是GitHub上的停用词表。

import urllib.request
import os

if not os.path.exists('stopwords.txt'):
    print('Downloading stopwords...')
    url = 'https://raw.githubusercontent.com/goto456/stopwords/master/stopwords.txt'
    urllib.request.urlretrieve(url, 'stopwords.txt')
    print('Stopwords download complete.')

2. 读取《西游记》文本

with open('journey_to_the_west.txt', 'r', encoding='utf-8') as f:
    text = f.read()

3. 对文本进行分词，这里使用jieba分词库

import jieba

words = jieba.lcut(text)

4. 进行停用词过滤

with open('stopwords.txt', 'r', encoding='utf-8') as f:
    stopwords = f.read().split('\n')

filtered_words = []
for word in words:
    if word not in stopwords and word != '\n':
        filtered_words.append(word)

5. 进行词频统计

from collections import Counter

word_count = Counter(filtered_words)
print(word_count.most_common(20))

完整代码如下：

import urllib.request
import os
import jieba
from collections import Counter

if not os.path.exists('stopwords.txt'):
    print('Downloading stopwords...')
    url = 'https://raw.githubusercontent.com/goto456/stopwords/master/stopwords.txt'
    urllib.request.urlretrieve(url, 'stopwords.txt')
    print('Stopwords download complete.')

with open('journey_to_the_west.txt', 'r', encoding='utf-8') as f:
    text = f.read()

words = jieba.lcut(text)

with open('stopwords.txt', 'r', encoding='utf-8') as f:
    stopwords = f.read().split('\n')

filtered_words = []
for word in words:
    if word not in stopwords and word != '\n':
        filtered_words.append(word)

word_count = Counter(filtered_words)
print(word_count.most_common(20))

这段代码会输出前20个出现次数最多的词及其出现次数。