diff --git a/ai弹幕.py b/ai弹幕.py
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+++ b/ai弹幕.py
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+ai_list = [] # 存放AI弹幕列表
+find = open('爬取的总弹幕.txt',encoding='utf-8')
+keywords = ['AI','Ai','ai','智能','人工智能','aI'] # 关键词
+for aifind in find:
+    if any(i in aifind for i in keywords)==True: # 对每个弹幕进行判断，是否至少包含一个关键词
+        print(aifind)
+        ai_list.append(aifind) # 写入AI弹幕列表
+print(ai_list)
+for aifind in ai_list:
+    with open('AI弹幕.txt',mode='a',encoding='utf-8') as f:
+        f.write(aifind) # 写入AI弹幕.txt文本
+for aifind in ai_list:
+    with open('AI弹幕.xls',mode='a',encoding='utf-8') as f:
+        f.write(aifind) # 写入AI弹幕.xls文本
+from collections import Counter
+
+# 存放AI弹幕列表
+ai_list = []
+keywords = ['AI', 'Ai', 'ai', '智能', '人工智能', 'aI'] # 关键词
+
+# 读取弹幕文件并筛选出包含关键词的弹幕
+with open('爬取的总弹幕.txt', encoding='utf-8') as find:
+    for aifind in find:
+        if any(keyword in aifind for keyword in keywords):
+            ai_list.append(aifind.strip()) # 去除每行末尾的换行符
+
+# 统计弹幕出现的频率
+counter = Counter(ai_list)
+
+# 获取出现频率前8的弹幕
+top_8_comments = counter.most_common(8)
+
+# 输出前8个弹幕及其数量
+print("前八的弹幕:")
+for comment, count in top_8_comments:
+    print(f"{comment}: {count}")
+
+# 将所有筛选出的AI弹幕写入AI弹幕.txt
+with open('AI弹幕.txt', mode='w', encoding='utf-8') as f:
+    for aifind in ai_list:
+        f.write(aifind + '\n')
+
+# 将前8个弹幕及其数量写入AI弹幕.txt
+with open('前八弹幕.txt', mode='w', encoding='utf-8') as f:
+    f.write("Top 8 'AI' related comments:\n")
+    for comment, count in top_8_comments:
+        f.write(f"{comment}: {count}\n")
+
+# 如果需要写入Excel文件中，请使用pandas库
+import pandas as pd
+
+# 将统计数据写入Excel文件
+df = pd.DataFrame(top_8_comments, columns=['Comment', 'Count'])
+df.to_excel('前八弹幕.xlsx', index=False)
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