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NLP：Ulta 护肤评论

发布时间：2026-03-17 14:31:03资源ID：2032002956491395073资源类型：免费

该数据集《NLP: Ulta Skincare Reviews》主要用于多分类任务，数据形态以图像为主，应用场景偏向金融风控。 题目说明：A collection of 4,000+ reviews of Dermalogica skincare products. 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Ulta Skincare Reviews.csv。 Dataset Information This dataset was created via Python using the selenium and pandas libraries. The reviews were pulled on March 27, 2023 and were published on Ulta.com for Dermalogica products. Sample Use Cases for Dataset Sentiment Analysis: What are the overall sentiments associated with each product? Are the reviews mostly positive or mostly negative? Text Analysis: What can the reviews tell us about the products? Do most buyers have common skincare issues? What issues did the products help solve or exacerbate? Inferential Statistics: Are there statistically significant differences between the average sentiment scores for the reviews of each product?

NLP：Ulta 护肤评论

摘要概览

该数据集《NLP: Ulta Skincare Reviews》主要用于多分类任务，数据形态以图像为主，应用场景偏向金融风控。 题目说明：A collection of 4,000+ reviews of Dermalogica skincare products.

任务类型：图像多分类。

建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：Ulta Skincare Reviews.csv。

Dataset Information This dataset was created via Python using the selenium and pandas libraries. The reviews were pulled on March 27, 2023 and were published on Ulta.com for Dermalogica products.

Sample Use Cases for Dataset

Sentiment Analysis: What are the overall sentiments associated with each product? Are the reviews mostly positive or mostly negative?

Text Analysis: What can the reviews tell us about the products? Do most buyers have common skincare issues? What issues did the products help solve or exacerbate?

Inferential Statistics: Are there statistically significant differences between the average sentiment scores for the reviews of each product?