Project

BillBullet_classification.py

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+from collections import Counter
+
+# 读取文件内容
+with open('弹幕.txt', 'r', encoding='utf-8') as file:
+    lines = file.readlines()
+
+# 定义与AI技术相关的关键字
+keywords = ['AI', '人工智能', '机器学习', '深度学习', '神经网络', '大数据', '强化学习', '计算机视觉', '计算机',
+            '图形学', '算法', '预测模型', '智能']
+
+# 过滤包含关键字的弹幕
+ai_danmus = [line for line in lines if any(keyword in line for keyword in keywords)]
+
+# 统计弹幕出现次数
+counter = Counter(ai_danmus)
+
+# 获取数量前8的弹幕
+top_8_danmus = counter.most_common(8)
+
+# 打印结果
+with open('AI.txt', mode='w', encoding='utf-8') as f:
+    for danmu, count in top_8_danmus:
+        print(f"弹幕: {danmu.strip()} | 数量: {count}")
+        f.write(danmu.strip() + '\n')