ECレビューの感情分析と洞察生成

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レビュー・評価

ECレビュー感情分析

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レビュー・評価

ECユーザーレビューデータに基づき、感情の傾向を自動識別し、製品の主な利点と欠点を抽出して、運用意思決定を支援する構造化レポートを生成します。

プロンプト内容

コピー

Please analyze the provided e-commerce platform user review data, identifying the sentiment polarity (positive, negative, or neutral) of each review, and extracting specific product features or issues mentioned. For negative reviews, further summarize the main reasons for complaints; for positive reviews, summarize the core factors for user satisfaction. Finally, output a structured sentiment analysis report containing sentiment distribution statistics, high-frequency keyword clouds, and specific suggestions for product improvement. Ensure the analysis results are objective, accurate, and actionable, helping the operations team optimize product descriptions and service processes.

コピー

提供されたECプラットフォームのユーザーレビューデータを分析し、各レビューの感情の極性（ポジティブ、ネガティブ、またはニュートラル）を識別し、言及された具体的な製品特性や問題を抽出してください。ネガティブなレビューについては、主な苦情の原因をさらに要約し、ポジティブなレビューについては、ユーザーの満足度の核心要因を要約してください。最後に、感情分布統計、高頻度キーワードクラウド、および製品改善のための具体的な提案を含む構造化された感情分析レポートを出力してください。分析結果が客観的、正確、かつ実行可能であることを確保し、運用チームが製品説明とサービスプロセスを最適化できるよう支援します。

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