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49 lines
1.5 KiB
49 lines
1.5 KiB
#软工个人作业——检测并将写入Excel的程序
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import collections
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import re
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import pandas as pd
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# 定义关键词列表
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keywords = ['AI', "人工智能", 'ai']
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# 读取文本文件
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with open('all_danmaku.txt', 'r', encoding='utf-8') as file:
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lines = file.readlines()
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# 初始化一个Counter对象
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counter = collections.Counter()
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# 遍历每一行，检测关键词并计数
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for line in lines:
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line_lower = line.lower() # 将行转换为小写以进行不区分大小写的匹配
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for keyword in keywords:
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# 使用正则表达式匹配独立的关键词
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if keyword.lower() == 'ai':
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# 只在中文字符的上下文中匹配独立的“ai”单词
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if re.search(r'[\u4e00-\u9fff]ai[\u4e00-\u9fff]', line_lower):
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counter[line.strip()] += 1
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break # 避免同一行多次计数
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else:
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if keyword.lower() in line_lower:
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counter[line.strip()] += 1
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break # 避免同一行多次计数
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# 获取出现次数最多的前八个句子
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most_common_lines = counter.most_common(8)
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# 打印结果
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for line, count in most_common_lines:
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print(f"{line}: {count} 次")
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# 创建一个DataFrame
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df = pd.DataFrame(most_common_lines, columns=['句子', '出现次数'])
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# 将DataFrame保存到Excel文件
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df.to_excel('排名表格.xlsx', index=False)
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print("排名表格已保存到排名表格.xlsx")
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