From 75436057202f856380c0dcb2911fab73e6a2f5dd Mon Sep 17 00:00:00 2001
From: ptlwmhjs9 <2869950691@qq.com>
Date: Wed, 18 Sep 2024 19:16:56 +0800
Subject: [PATCH] =?UTF-8?q?Update=20=E5=85=B3=E9=94=AE=E8=AF=8D=E6=A3=80?=
 =?UTF-8?q?=E6=B5=8B.py?=
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---
 关键词检测.py | 92 +++++++++++++++++++++++-----------------------
 1 file changed, 46 insertions(+), 46 deletions(-)

diff --git a/关键词检测.py b/关键词检测.py
index 43c3f3a..9136f51 100644
--- a/关键词检测.py
+++ b/关键词检测.py
@@ -1,46 +1,46 @@
-#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() == '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")
-with open('AI弹幕（生成词云图用）.txt', 'w', encoding='utf-8') as f:
-    for line, count in most_common_lines:
-        f.write(f'{line}\n')
+#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() == '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")
+with open('AI弹幕·生成词云图用.txt', 'w', encoding='utf-8') as f:
+    for line, count in most_common_lines:
+        f.write(f'{line}\n')