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41 lines
1.4 KiB
41 lines
1.4 KiB
from wordcloud import WordCloud
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from collections import Counter
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import matplotlib.pyplot as plt
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import pandas as pd
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final_danmu=[]#所有弹幕合集
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final_danmu_ai=[]#所有ai有关弹幕合计
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for num in range(1,301):#遍历爬好的弹幕
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text_name=f"第{num}个视频弹幕.txt"
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danmu=[]
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key=[
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'人工智能','AI'
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]
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try:
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with open(f"{text_name}",mode='r',encoding='utf-8') as f:
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for i in f:
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danmu.append(i.strip())
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danmu_ai=[i for i in danmu if any(j in i for j in key)]
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final_danmu_ai+=danmu_ai
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final_danmu+=danmu
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except:
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continue
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aicount=Counter(final_danmu_ai)
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danmucount=Counter(final_danmu)
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#分别计数
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for i in aicount.most_common(8):#AI有关弹幕排名前8
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print(f"弹幕：{i[0]}\n次数：{i[1]}\n")
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wordcloud = WordCloud(width=800, height=400, background_color='white',
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font_path='msyh.ttc', # 设置字体路径，可以根据系统字体路径调整
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max_words=100, colormap='viridis').generate_from_frequencies(danmucount)
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# 显示词云图
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plt.figure(figsize=(10, 5))
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plt.imshow(wordcloud, interpolation='bilinear')
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plt.axis('off') # 不显示坐标轴
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plt.show()
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#写入excel
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df = pd.DataFrame(danmucount.items(), columns=['弹幕内容', '出现次数'])
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df.to_excel("弹幕大全.xlsx", index=False)
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