词云分析带有停用词表和同义词表的Python代码

以下是带有停用词表和同义词表的Python代码：

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# 读取文本文件
with open('text.txt', 'r', encoding='utf-8') as f:
    text = f.read()

# 加载停用词表
stopwords = set()
with open('stopwords.txt', 'r', encoding='utf-8') as f:
    for line in f:
        stopwords.add(line.strip())

# 加载同义词表
synonyms = {}
with open('synonyms.txt', 'r', encoding='utf-8') as f:
    for line in f:
        words = line.strip().split()
        for w in words[1:]:
            synonyms[w] = words[0]

# 分词并进行同义词替换和去停用词
words = []
for w in jieba.cut(text):
    if w in synonyms:
        w = synonyms[w]
    if w not in stopwords:
        words.append(w)

# 统计词频
counter = {}
for w in words:
    counter[w] = counter.get(w, 0) + 1

# 生成词云
wc = WordCloud(font_path='STHeiti Medium.ttc', background_color='white')
wc.generate_from_frequencies(counter)

# 显示词云
plt.imshow(wc)
plt.axis('off')
plt.show()

其中，`text.txt` 是待分析的文本文件，`stopwords.txt` 是停用词表文件，`synonyms.txt` 是同义词表文件。在代码中，先分别加载停用词表和同义词表，然后对文本进行分词并进行同义词替换和去停用词处理，最后统计词频，生成词云并显示。需要注意的是，需要安装 `jieba` 和 `wordcloud` 库。