地球资源数据云——数据资源详情

10000 条餐厅评论

发布时间：2026-03-17 14:30:48资源ID：2032007690061254658资源类型：免费

该数据集《10000 Restaurant Reviews》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：10000 Restaurant Reviews with 8 columns 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：Restaurant reviews.csv。 Dataset of restaurant reviews with 10000 rows and 8 columns Dataset has 10000 rows and 8 columns. Try to perform NLP by using the "Review" and "Rating columns" T - ry sentiment analysis by considering rating above 3 as "Positive" and below 3 as "Negative" Source: https://github.com/manthanpatel98/Restaurant - Review - Sentiment - Analysis/tree/master

10000 条餐厅评论

摘要概览

该数据集《10000 Restaurant Reviews》主要用于多分类任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：10000 Restaurant Reviews with 8 columns

任务类型：文本多分类。

建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。

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：Restaurant reviews.csv。

Dataset of restaurant reviews with 10000 rows and 8 columns

Dataset has 10000 rows and 8 columns.

Try to perform NLP by using the "Review" and "Rating columns"

T - ry sentiment analysis by considering rating above 3 as "Positive" and below 3 as "Negative"

Source: https://github.com/manthanpatel98/Restaurant - Review - Sentiment - Analysis/tree/master