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# 统计弹幕次数
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def count_danmu():
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# 打开TXT文件以读取数据
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file_path = '弹幕.txt'
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# 初始化一个空的文本字符串，用于累积所有文本数据
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danmu_list = []
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with open(file_path, 'r', encoding='utf-8') as file:
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for line in file:
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# 在这里处理每一行的数据
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# 示例：将每一行的弹幕添加到danmu_list列表中
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danmu_list.append(line.strip())
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# 使用Counter统计弹幕出现次数
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danmu_counter = Counter(danmu_list)
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# 筛选与AI技术应用相关的弹幕
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ai_danmu_counter = {k: v for k, v in danmu_counter.items() if 'AI' in k or '人工智能' in k}
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# 将筛选后的弹幕转换为Counter对象
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ai_danmu_counter = Counter(ai_danmu_counter)
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# 获取AI技术应用方面数量排名前8的弹幕
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top_8_ai_danmus = ai_danmu_counter.most_common(8)
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# 打印排名前8的AI技术应用方面的弹幕及其出现次数
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for idx, (danmu, count) in enumerate(top_8_ai_danmus, 1):
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print(f'排名 #{idx}: 弹幕 "{danmu}" 出现次数：{count}')
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#top_76016_danmus = danmu_counter.most_common(76016)
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# 将AI技术应用方面的统计数据写入Excel
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df = pd.DataFrame(list(ai_danmu_counter.items()), columns=['弹幕', '次数'])
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df.to_excel('AI技术应用弹幕统计.xlsx', index=False)
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