地球资源数据云——数据资源详情

法航评论数据集

发布时间：2026-03-17 14:30:58资源ID：2032004646267424769资源类型：免费

该数据集《Air France Reviews Dataset》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：Ethically Sourced Customer Feedback for NLP Analysis 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：airfrance_tripadvisor_reviews.csv。 The Air France Reviews Dataset is a collection of customer reviews specifically curated to analyze feedback on Air France services. This dataset was ethically mined using apify.com, ensuring compliance with web scraping guidelines and ethical standards. Additionally, all personally identifiable information (PII) has been thoroughly removed to protect user privacy, making it safe for further analysis and application in data - driven projects. Dataset Columns The dataset includes several key columns: Review Text: The main text of the review, capturing the customer’s opinion. Rating: The numerical rating given by the customer, typically ranging from 1 to 5. Review Date: The date on which the review was posted. Sentiment: An automatic or manually annotated field that indicates the review's sentiment (e.g., positive, negative, neutral). Review Source: The platform or website from which the review was gathered (if applicable). Language: The language of the review, helpful for multilingual analysis.

法航评论数据集

摘要概览

该数据集《Air France Reviews Dataset》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：Ethically Sourced Customer Feedback for NLP Analysis

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：airfrance_tripadvisor_reviews.csv。

The Air France Reviews Dataset is a collection of customer reviews specifically curated to analyze feedback on Air France services. This dataset was ethically mined using apify.com, ensuring compliance with web scraping guidelines and ethical standards.

Additionally, all personally identifiable information (PII) has been thoroughly removed to protect user privacy, making it safe for further analysis and application in data - driven projects.

Dataset Columns The dataset includes several key columns:

Review Text: The main text of the review, capturing the customer’s opinion. Rating: The numerical rating given by the customer, typically ranging from 1 to 5. Review Date: The date on which the review was posted. Sentiment: An automatic or manually annotated field that indicates the review's sentiment (e.g., positive, negative, neutral).

Review Source: The platform or website from which the review was gathered (if applicable). Language: The language of the review, helpful for multilingual analysis.