30 lines
788 B
Python
30 lines
788 B
Python
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import pandas as pd
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from snownlp import SnowNLP
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import matplotlib.pyplot as plt
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def load_data(file_path):
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try:
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df = pd.read_csv(file_path, usecols=['弹幕内容'], engine='python')
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return df['弹幕内容'].dropna().astype(str).tolist()
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except Exception as e:
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print(f"数据加载失败: {str(e)}")
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return []
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# 示例文件路径
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file_path = "hot_data/GMV/BV1ajXMYUE6S/BV1ajXMYUE6S_273_danmaku.csv"
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# 执行分析
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danmu_texts = load_data(file_path)
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emotions = {'positive': 0,
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'negative': 0,
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'neutral': 0}
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for item in danmu_texts:
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s = SnowNLP(item)
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if s.sentiments > 0.6:
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emotions['positive'] += 1
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elif s.sentiments < 0.4:
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emotions['negative'] += 1
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else:
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emotions['neutral'] += 1
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