地球资源数据云——数据资源详情
基本 NLP 的垃圾邮件分类
该数据集《Spam Classification for Basic NLP》主要用于二分类任务，数据形态以文本为主。 题目说明：This data is in raw format in order to do all pre - processing steps in NLP 任务类型：文本二分类。 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：Spam Email raw text for NLP.csv。 This Data consist of raw mail messages which is suitable for the NLP pre - processing like Tokenizing, Removing Stop words, Stemming and Parsing HTML tags. All the above steps are very important for someone who enters into NLP world. The dataset also goes hand - in - hand with NLP libraries like Vectorizer etc.
摘要概览
该数据集《Spam Classification for Basic NLP》主要用于二分类任务，数据形态以文本为主。 题目说明：This data is in raw format in order to do all pre - processing steps in NLP
任务类型：文本二分类。
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：Spam Email raw text for NLP.csv。
This Data consist of raw mail messages which is suitable for the NLP pre - processing like Tokenizing, Removing Stop words, Stemming and Parsing HTML tags. All the above steps are very important for someone who enters into NLP world. The dataset also goes hand - in - hand with NLP libraries like Vectorizer etc.