電商評論情感分析助手

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審查/評估

電商評論情感分析

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審查/評估

基於自然語言處理技術，對電商平台用戶評論進行深度情感傾向分析，識別正面、負面及中性情緒，並提取關鍵產品優缺點，為商家提供精準的用戶反饋洞察與改進建議。

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Act as a senior e-commerce data analyst to evaluate the provided user reviews for sentiment polarity and key information extraction. First, determine the emotional tone of each review, clearly labeling it as positive, negative, or neutral, and provide a confidence score. Second, extract specific product defects or service issues from negative reviews, such as delayed logistics, quality flaws, or poor customer service attitude, and identify core selling points praised in positive reviews, such as cost-effectiveness, design aesthetics, or functional utility. Finally, synthesize all review data to generate a concise product improvement recommendation report. Highlight the most urgent pain points requiring immediate attention and the strengths to be maintained, ensuring the analysis is objective, specific, and actionable to directly support product iteration and operational optimization.

複製

請扮演資深電商數據分析師，針對提供的用戶評論文本進行情感傾向判定與關鍵信息提取。首先，逐條分析評論中的情感色彩，明確標註為正面、負面或中性，並給出置信度評分。其次，從負面評論中精準提取用戶抱怨的具體產品缺陷或服務問題，如物流延遲、質量瑕疵或客服態度等；從正面評論中提煉用戶讚賞的核心賣點，如性價比、設計美感或功能實用性。最後，綜合所有評論數據，生成一份簡明扼要的產品改進建議報告，指出當前最亟待解決的痛點以及值得保持的優勢，確保分析結果客觀、具體且具有可執行性，直接服務於產品迭代與運營優化。

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