53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
from snownlp import SnowNLP
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def analyze_emotion_snownlp(text):
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"""
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使用SnowNLP进行中文情感分析
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:param text: 输入文本
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:return: 情感得分(0-1之间，越接近1越积极)
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"""
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try:
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s = SnowNLP(text)
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sentiment_score = s.sentiments
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# 获取文本的关键词
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keywords = s.keywords(3)
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return {
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'sentiment_score': sentiment_score,
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'keywords': keywords,
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'summary': s.summary(1) # 生成文本摘要
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}
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except Exception as e:
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print(f"分析过程中出现错误: {str(e)}")
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return None
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def get_emotion_description_snownlp(score):
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"""
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将情感得分转换为描述性文字
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"""
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if score is None:
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return "无法分析情感"
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if score > 0.8:
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return "非常积极"
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elif score > 0.6:
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return "较为积极"
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elif score > 0.4:
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return "中性偏积极"
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elif score > 0.2:
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return "中性偏消极"
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else:
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return "消极"
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if __name__ == "__main__":
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# 测试样例
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test_text = "我们学校有免费的gpt4用"
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result = analyze_emotion_snownlp(test_text)
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if result:
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print(f"测试文本: {test_text}")
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print(f"情感得分: {result['sentiment_score']:.2f}")
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print(f"情感倾向: {get_emotion_description_snownlp(result['sentiment_score'])}")
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print(f"关键词: {', '.join(result['keywords'])}")
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print(f"文本摘要: {result['summary'][0]}") |