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41 lines
1.4 KiB
41 lines
1.4 KiB
2 months ago
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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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def read_danmakus_from_file(file_path):
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with open(file_path, 'r', encoding='utf-8') as file:
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return [line.strip() for line in file if line.strip()] # 移除空行并去除每行的前后空白字符
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# 统计弹幕
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def count_danmakus(danmakus):
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counter = Counter(danmakus)
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# 返回数量最多的前8项
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return counter.most_common(8)
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# 保存到Excel
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def save_to_excel(data, filename):
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df = pd.DataFrame(data, columns=['Danmaku', 'Count'])
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df.to_excel(filename, index=False)
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# 筛选与关键词相关的弹幕
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def filter_keyword_related_danmakus(danmakus, keywords):
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return [danmaku for danmaku in danmakus if any(keyword in danmaku for keyword in keywords)]
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# 读取弹幕数据
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danmaku_file_path = '弹幕.txt'
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danmakus = read_danmakus_from_file(danmaku_file_path)
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# 定义关键词列表
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keywords = ['AI', '人工智能', '计算机']
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# 筛选与关键词相关的弹幕
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keyword_related_danmakus = filter_keyword_related_danmakus(danmakus, keywords)
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# 统计弹幕
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keyword_danmaku_counts = count_danmakus(keyword_related_danmakus)
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# 保存到Excel
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excel_file_path = 'keyword_related_danmaku_counts.xlsx'
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save_to_excel(keyword_danmaku_counts, excel_file_path)
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print(f"与关键词相关的弹幕数据统计已保存到 {excel_file_path}")
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