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
ai_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','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 ai_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)