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import pandas as pd
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from collections import Counter
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# 读取弹幕文件
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with open('danmu.txt', 'r', encoding='utf-8') as f:
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danmu_all = f.readlines()
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# 筛选包含关键词的弹幕
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keywords = ['人工智能','ai音效','ai视频','AI视频','AI音效','AI技术','ai技术','AI教练','AI训练','AI大模型','ai教练','ai训练','ai大模型',
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'AI解说','AI裁判','ai解说','ai裁判','云计算','AI设计','AI图','ai设计','ai图','AI作画','AI助手','ai还能帮运动员训练']
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ai_danmu = [danmu for danmu in danmu_all if any(keyword in danmu for keyword in keywords)]
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# 统计弹幕数量
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num = Counter(ai_danmu)
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most_common = num.most_common(8)
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df = pd.DataFrame(most_common, columns=['弹幕内容', '数量'])
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# 保存为Excel文件
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excel_path = 'top8_danmu.xlsx' # 定义Excel文件的保存路径
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df.to_excel(excel_path, index=False)
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