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"""
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说明：写入execl，生成词云图
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"""
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# import pandas as pd
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from wordcloud import WordCloud
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import matplotlib.pyplot as plt
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from collections import Counter
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import openpyxl
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import jieba
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import re
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from bullet_screen import get_bullet_screen
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from bv_maker import get_bv, BV_NUM
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jieba.setLogLevel(jieba.logging.INFO)
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def confirm(bullet):
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keywords = ['人工智能', 'AI', '机器学习', '深度学习', '神经网络', '自动驾驶', '自然语言处理', '智能', 'ai'] # 设置AI应用关键词
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bullet = bullet.lower()
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obj = r'(?<![a-zA-Z])(?:' + '|'.join(re.escape(keyword) for keyword in keywords) + r')(?![a-zA-Z])'
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if re.search(obj, bullet):
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return True
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else:
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return False
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def make_word_cloud(bullet_screen_list):
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ai_related_bullet = []
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for bullet in bullet_screen_list:
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if confirm(bullet): # 忽略大小写
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ai_related_bullet.append(bullet)
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# print(ai_related_bullet)
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top8 =Counter(ai_related_bullet).most_common(8)
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wb = openpyxl.Workbook()
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sheet = wb.active
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sheet.title = "AI Related Bullet-Screen"
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sheet.append(["弹幕内容", "出现次数"])
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for item in top8:
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sheet.append([item[0], item[1]])
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wb.save('ai_bullet_screen.xlsx')
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text = ' '.join(ai_related_bullet)
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cut_text = ' '.join(jieba.cut(text)) # 使用jieba分词
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wordcloud = WordCloud(
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font_path='msyh.ttc',
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width=800,
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height=400,
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background_color='white',
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# colormap='cool'
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).generate(cut_text)
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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')
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plt.show() #展示词云图
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if __name__ == '__main__':
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bv_list = get_bv(BV_NUM)
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bullet_screen_list = get_bullet_screen(bv_list)
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make_word_cloud(bullet_screen_list)
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