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import os
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from collections import Counter
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import pandas as pd
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#定义 AI 技术相关的关键词
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ai_keywords = ["AI", "人工智能", "深度学习", "机器学习", "神经网络", "算法", "大模型","ai"]
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def read_danmu(folder_path):
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#读取文件夹中的所有 txt 文件，返回弹幕和其来源文件名（BV号）的列表
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all_danmu = []
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for filename in os.listdir(folder_path):
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if filename.endswith(".txt"):
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file_path = os.path.join(folder_path, filename)
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with open(file_path, 'r', encoding='utf-8') as file:
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danmu_list = file.readlines()
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#假设文件名中包含BV号，去掉文件名的后缀.txt
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bv_number = os.path.splitext(filename)[0]
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#将弹幕和BV号作为元组存储
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all_danmu.extend([(danmu.strip(), bv_number) for danmu in danmu_list if danmu.strip()])
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return all_danmu
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def filter_ai_related_danmu(danmu, keywords):
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#筛选包含关键词的弹幕并保留来源BV号
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ai_related_danmu = [(danmu, source) for danmu, source in danmu if any(keyword in danmu for keyword in keywords)]
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return ai_related_danmu
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def count_danmu(danmu_list):
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danmu_counter = Counter([danmu for danmu, _ in danmu_list])
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return danmu_counter
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def save(danmu_list, output_file):
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# 创建一个包含弹幕内容、出现次数和来源文件的列表
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data = []
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danmu_counter = Counter([danmu for danmu, _ in danmu_list])
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for danmu, count in danmu_counter.items():
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# 找到对应的 BV 号
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sources = {source for d, source in danmu_list if d == danmu}
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source_files = ", ".join(sources) # 如果有多个来源文件，合并它们
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data.append([danmu, count, source_files])
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# 创建DataFrame
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df = pd.DataFrame(data, columns=['弹幕内容', '出现次数', '来源BV号'])
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# 将DataFrame 写入 Excel 文件
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df.to_excel(output_file, index=False)
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print(f"统计结果已保存至 {output_file}")
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def print_top_n_danmu(danmu_list, top_n=8):
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danmu_counter = count_danmu(danmu_list)
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#获取出现次数最多 N个弹幕
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most_common_danmu = danmu_counter.most_common(top_n)
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print(f"数量排名前 {top_n} 的弹幕：")
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for danmu, count in most_common_danmu:
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print(f"弹幕内容: {danmu}, 出现次数: {count}")
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if __name__ == '__main__':
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folder_path = 'E:/前端/软件工程/弹幕收集按序/'
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all_danmu = read_danmu(folder_path)
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ai_related_danmu = filter_ai_related_danmu(all_danmu, ai_keywords)
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if not ai_related_danmu:
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print("没有找到与AI技术应用相关的弹幕。")
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else:
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# 打印数量排名前8的弹幕
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print_top_n_danmu(ai_related_danmu, top_n=8)
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# 将所有AI相关的弹幕、来源BV号和次数保存至 Excel
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output_file = 'E:/前端/软件工程/AI技术弹幕统计结果8_with_BV号.xlsx'
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save(ai_related_danmu, output_file)
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