地球资源数据云——数据资源详情
网站分类
该数据集《Website Classification》主要用于多分类任务，数据形态以文本为主。 题目说明：classify website URLs to different categories 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：website_classification.csv。 Context This dataset was created by scraping different websites and then classifying them into different categories based on the extracted text. Content Below are the values each column has. The column names are pretty self - explanatory. website_url: URL link of the website. cleaned_website_text: the cleaned text content extracted from the
摘要概览
该数据集《Website Classification》主要用于多分类任务，数据形态以文本为主。 题目说明：classify website URLs to different categories
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：website_classification.csv。
Context
This dataset was created by scraping different websites and then classifying them into different categories based on the extracted text.
Content
Below are the values each column has. The column names are pretty self - explanatory. website_url: URL link of the website. cleaned_website_text: the cleaned text content extracted from the