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women_clothing_review

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OpenML2025-04-14 更新2025-12-20 收录
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Predict the score of a customer review of clothing items (sold by an anonymous retailer) based on the review text, how much positive feedback the review has received (numeric), and additional features about the product like its department (categorical). The data were collected by: https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews Dataset found from the paper: Benchmarking multimodal automl for tabular data with text fields. arXiv preprint arXiv:2111.02705.

基于评论文本、评论获得的正面反馈量(数值型)以及产品的额外特征(如所属部门,类别型),预测服装商品(由匿名零售商销售)的顾客评论分数。数据由以下来源收集:https://www.kaggle.com/nicapotato/womens-ecommerce-clothing-reviews。该数据集源自论文:《Benchmarking multimodal automl for tabular data with text fields》,arXiv预印本arXiv:2111.02705。
创建时间:
2025-04-14
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