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word_cloud.py

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+"""
+    说明：写入execl，生成词云图
+"""
+# import pandas as pd
+from wordcloud import WordCloud
+import matplotlib.pyplot as plt
+from collections import Counter
+import openpyxl
+import jieba
+import re
+from bullet_screen import get_bullet_screen
+from bv_maker import get_bv, BV_NUM
+jieba.setLogLevel(jieba.logging.INFO)
+
+def confirm(bullet):
+    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
+    bullet = bullet.lower()
+    obj = r'(?<![a-zA-Z])(?:' + '|'.join(re.escape(keyword) for keyword in keywords) + r')(?![a-zA-Z])'
+    if re.search(obj, bullet):
+        return True
+    else:
+        return False
+
+def make_word_cloud(bullet_screen_list):
+    ai_related_bullet = []
+    for bullet in bullet_screen_list:
+        if confirm(bullet):  # 忽略大小写
+            ai_related_bullet.append(bullet)
+    # print(ai_related_bullet)
+    top8 =Counter(ai_related_bullet).most_common(8)
+    wb = openpyxl.Workbook()
+    sheet = wb.active
+    sheet.title = "AI Related Danmakus"
+    sheet.append(["弹幕内容", "出现次数"])
+    for item in top8:
+        sheet.append([item[0], item[1]])
+    wb.save('ai_bullet_screen.xlsx')
+    text = ' '.join(ai_related_bullet)
+    cut_text = ' '.join(jieba.cut(text))  # 使用jieba分词
+    wordcloud = WordCloud(
+        font_path='msyh.ttc',
+        width=800,
+        height=400,
+        background_color='white',
+        # colormap='cool'
+    ).generate(cut_text)
+    plt.figure(figsize=(10, 5))
+    plt.imshow(wordcloud, interpolation='bilinear')
+    plt.axis('off')
+    plt.show()  #展示词云图
+
+if __name__ == '__main__':
+    bv_list = get_bv(BV_NUM)
+    bullet_screen_list = get_bullet_screen(bv_list)
+    make_word_cloud(bullet_screen_list)