地球资源数据云——数据资源详情

2022 年 NLP 裁员

发布时间：2026-03-17 14:30:58资源ID：2032004349314895873资源类型：免费

该数据集《Layoffs NLP 2022》主要用于监督学习任务，数据形态以文本为主。 题目说明：Recent linkedIn posts regarding the layoffs trend ongoing in 2022. 任务类型：文本监督学习。 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：linkedin_temp.csv。 This dataset consists of several scraped LinkedIn posts by professionals and users about the ongoing layoff trends. This data could be used to have a look at the present reaction of several professionals about the layoffs. This data was collected by scraping recent LinkedIn posts.

2022 年 NLP 裁员

摘要概览

该数据集《Layoffs NLP 2022》主要用于监督学习任务，数据形态以文本为主。 题目说明：Recent linkedIn posts regarding the layoffs trend ongoing in 2022.

任务类型：文本监督学习。

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：linkedin_temp.csv。

This dataset consists of several scraped LinkedIn posts by professionals and users about the ongoing layoff trends. This data could be used to have a look at the present reaction of several professionals about the layoffs.

This data was collected by scraping recent LinkedIn posts.