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电商评论情感分析
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基于自然语言处理技术，对电商平台用户评论进行深度情感倾向分析，识别正面、负面及中性评价，提取关键产品优缺点，为商家优化产品体验、提升用户满意度提供数据支持。
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Please analyze the sentiment polarity of the provided e-commerce user review texts, identifying whether each comment is positive, negative, or neutral. Extract specific product features or issues mentioned, such as quality, logistics, or service, and generate a brief report including sentiment distribution statistics, key pain point summaries, and improvement suggestions to help merchants understand user feedback and optimize their products and services.
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请对提供的电商用户评论文本进行情感倾向分析，识别每条评论的情感极性（正面、负面或中性），并提取评论中提到的具体产品特性或问题点，如质量、物流、服务等维度，最终生成一份包含情感分布统计、关键痛点总结及改进建议的简要报告，帮助商家理解用户反馈并优化产品与服务。
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