KKSingh007/ecommerce-reviews-sentiment

该数据集是一个精心整理的电子商务和SaaS平台客户评论数据集，包含20,000条带有情感标签的评论，用于情感分析任务。每条评论都标注了情感（正面、负面、中性）以及额外的元数据，包括产品类别和评分。数据集经过预处理和去重，具有平衡的类别分布（40%正面、35%负面、25%中性），并包含丰富的元数据（评分、类别、来源平台）。主要用途是训练和评估电子商务和SaaS领域的客户反馈情感分析模型。

A curated dataset of 20,000 labeled customer reviews from e-commerce and SaaS platforms for sentiment analysis tasks. Each review is labeled with sentiment (positive, negative, neutral) and additional metadata including product category and rating. The dataset is preprocessed and deduplicated, with balanced class distribution (40% positive, 35% negative, 25% neutral) and rich metadata (rating, category, source platform). Primary use is for training and evaluating sentiment analysis models for customer feedback in e-commerce and SaaS domains.