地球资源数据云——数据资源详情
披萨餐厅
该数据集《Pizza Restaurants》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：Pizza Restaurant Visualization Data 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：Pizza_Restaurants.csv。 This dataset contains information about the menu items offered by a pizza restaurant. It includes details such as the name of the pizza, its ingredients, size options, price, and any special promotions or discounts associated with the item. This dataset can be used for analyzing popular pizza flavors, pricing strategies, and identifying customer preferences. The customer reviews dataset consists of feedback and reviews provided by customers who have visited the pizza restaurant. It includes information such as the reviewer's name, rating, comments, and date of the review. This dataset can be used for sentiment analysis, understanding customer satisfaction levels, identifying common complaints, and improving the overall customer experience.
摘要概览
该数据集《Pizza Restaurants》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：Pizza Restaurant Visualization Data
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：Pizza_Restaurants.csv。
This dataset contains information about the menu items offered by a pizza restaurant. It includes details such as the name of the pizza, its ingredients, size options, price, and any special promotions or discounts associated with the item. This dataset can be used for analyzing popular pizza flavors, pricing strategies, and identifying customer preferences.
The customer reviews dataset consists of feedback and reviews provided by customers who have visited the pizza restaurant. It includes information such as the reviewer's name, rating, comments, and date of the review.
This dataset can be used for sentiment analysis, understanding customer satisfaction levels, identifying common complaints, and improving the overall customer experience.