地球资源数据云——数据资源详情
文本文档分类数据集
该数据集《Text Document Classification Dataset》主要用于多分类任务，数据形态以文本为主。 题目说明：Text Document Classification Dataset for Classification and Clustering 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：df_file.csv。 This is text document classification dataset which contains 2225 text data and five categories of documents. Five categories are politics, sport, tech, entertainment and business. We can use this dataset for documents classification and document clustering. About Dataset Dataset contains two features text and label. No. of Rows : 2225 No. of Columns : 2
摘要概览
该数据集《Text Document Classification Dataset》主要用于多分类任务，数据形态以文本为主。 题目说明：Text Document Classification Dataset for Classification and Clustering
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：df_file.csv。
This is text document classification dataset which contains 2225 text data and five categories of documents. Five categories are politics, sport, tech, entertainment and business. We can use this dataset for documents classification and document clustering.
About Dataset
Dataset contains two features text and label.
No. of Rows : 2225
No. of Columns : 2