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ECレビュー感情分析
レビュー・評価
1
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自然言語処理技術を用いて、ECプラットフォームのユーザーレビューを深く分析し、肯定的、否定的、中立的な評価を識別し、製品の長所と短所を抽出し、商家の製品体験の最適化とユーザー満足度の向上にデータ支援を提供します。
プロンプト内容
コピー
コピー
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.
コピー
提供されたECユーザーレビューテキストの感情極性を分析し、各コメントが肯定的、否定的、または中立的であるかを識別してください。また、品質、物流、サービスなどの次元における具体的な製品特性や問題点を抽出し、感情分布の統計、主要な痛みポイントのまとめ、改善提案を含む簡易レポートを生成し、商家がユーザーフィードバックを理解し、製品とサービスを最適化できるよう支援してください。
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