diff --git a/wcd.py b/wcd.py
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+++ b/wcd.py
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+import jieba # 引入分词模块
+import wordcloud # 引入词云图配置模块
+
+
+# 1、对弹幕进行读取
+f = open("全弹幕.txt",encoding="utf-8") # 读取全弹幕
+text = f.read()
+f1 = open("AI弹幕.txt",encoding="utf-8") # 读取AI弹幕
+text1 = f1.read()
+
+
+# 2、对弹幕数据进行分词操作
+word_list = jieba.lcut(text) #对全弹幕进行分词
+for word in word_list:
+    with open('全弹幕分词.xls',mode='a',encoding='utf-8') as f: # 将全弹幕分词保存在xls表中
+        f.write(word)
+        f.write('\n')
+
+word_list1 = jieba.lcut(text1) #对AI弹幕进行分词
+for word in word_list1:
+    with open('AI弹幕分词.xls',mode='a',encoding='utf-8') as f: # 将AI弹幕分词保存在xls表中
+        f.write(word)
+        f.write('\n')
+
+
+# 3、将分割出的词连接成字符串
+word_str = ' '.join(word_list) # 全弹幕
+word_str1 = ' '.join(word_list1) # AI弹幕
+
+
+# 4、进行词云图相关配置
+wcdall = wordcloud.WordCloud(
+    width=600, # 宽度
+    height=600, #高度
+    background_color='white', # 背景颜色
+    font_path='msyh.ttc' # 字体文件
+)
+wcdall.generate(word_str)
+wcdall.to_file('全弹幕词云.png')
+
+wcdai = wordcloud.WordCloud(
+    width=600, # 宽度
+    height=600, #高度
+    background_color='white', # 背景颜色
+    font_path='msyh.ttc' # 字体文件
+)
+wcdai.generate(word_str1)
+wcdai.to_file('AI弹幕词云.png')
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