You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
39 lines
1.3 KiB
39 lines
1.3 KiB
2 months ago
|
#2.2 数据统计
|
||
|
|
import collections
|
||
|
|
import re
|
||
|
|
|
||
|
|
# 定义关键词列表
|
||
|
|
keywords = ['AI', "人工智能", 'ai']
|
||
|
|
|
||
|
|
# 读取文本文件
|
||
|
|
with open('MID、BVID、CID及弹幕.txt', 'r', encoding='utf-8') as file:
|
||
|
|
lines = file.readlines()
|
||
|
|
|
||
|
|
# 初始化一个Counter对象
|
||
|
|
counter = collections.Counter()
|
||
|
|
|
||
|
|
# 遍历每一行，检测关键词并计数
|
||
|
|
for line in lines:
|
||
|
|
line_lower = line.lower() # 将行转换为小写以进行不区分大小写的匹配
|
||
|
|
for keyword in keywords:
|
||
|
|
# 使用正则表达式匹配独立的关键词
|
||
|
|
if keyword.lower() == 'AI':
|
||
|
|
# 只在中文字符的上下文中匹配独立的“ai”单词
|
||
|
|
if re.search(r'[\u4e00-\u9fff]AI[\u4e00-\u9fff]', line_lower):
|
||
|
|
counter[line.strip()] += 1
|
||
|
|
break # 避免同一行多次计数
|
||
|
|
else:
|
||
|
|
if keyword.lower() in line_lower:
|
||
|
|
counter[line.strip()] += 1
|
||
|
|
break # 避免同一行多次计数
|
||
|
|
|
||
|
|
# 获取出现次数最多的前二十个句子
|
||
|
|
most_common_lines = counter.most_common(20)
|
||
|
|
|
||
|
|
# 输出结果到文件
|
||
|
|
with open('AI弹幕.txt', 'w', encoding='utf-8') as f:
|
||
|
|
for line, count in most_common_lines:
|
||
|
|
f.write(f'{line}: {count} 次\n')
|
||
|
|
print(f"{line}: {count} 次")
|
||
|
|
|