From 422e1fe9dbd1618a29ce41b602a444f7f33232bd Mon Sep 17 00:00:00 2001 From: ptkbf2lr5 <18759452262@163.com> Date: Wed, 18 Sep 2024 15:53:44 +0800 Subject: [PATCH] =?UTF-8?q?=E7=AD=9B=E9=80=89AI=E6=9C=89=E5=85=B3=E5=BC=B9?= =?UTF-8?q?=E5=B9=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- select_content.py | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) create mode 100644 select_content.py diff --git a/select_content.py b/select_content.py new file mode 100644 index 0000000..a83cb54 --- /dev/null +++ b/select_content.py @@ -0,0 +1,21 @@ +import pandas as pd +from collections import Counter + +# 读入所有弹幕 +with open('all_content.txt', mode='r', encoding='utf-8') as f: + data_list = f.readlines() +# AI技术应用有关关键词 +keywords = ['AI','人工智能','ai音效','ai视频','ai技术','机器学习', '深度学习', '自然语言处理','ai训练', + '大模型','自然语言处理','云计算','AI设计','AI图','神经网络', '自动驾驶','ai设计','ai图','AI软件',] +# 筛选有关AI的弹幕 +selectdanmu = [danmu for danmu in data_list if any(keyword in danmu for keyword in keywords)] + +# 统计弹幕数量 +num = Counter(selectdanmu) +top_common = num.most_common(8) +# 展示数量前八条弹幕 +print(top_common) +t = pd.DataFrame(top_common, columns=['弹幕内容', '数量']) +# 导出excel文件 +excel_path = 'top8_ai_danmu.xlsx' +t.to_excel(excel_path, index=False) \ No newline at end of file