地球资源数据云——数据资源详情
COVID19 假新闻数据集 NLP
该数据集《COVID19 Fake News Dataset NLP》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：COVID19 Fake News Detection in English 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：Constraint_Test.csv, Constraint_Train.csv, Constraint_Val.csv 等 5 个文件。 Context COVID Fake News Detection Dataset Content It is a subtask in the CONSTRAINT - 2021 shared task on the hostile post detection. This subtask focuses on the detection of COVID19 - related fake news in English. The sources of data are various social - media platforms such as Twitter, Facebook, Instagram, etc. Given a social media post, the objective of the shared task is to classify it into either fake or real news. https://competitions.codalab.org/competitions/26655
摘要概览
该数据集《COVID19 Fake News Dataset NLP》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：COVID19 Fake News Detection in English
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：Constraint_Test.csv, Constraint_Train.csv, Constraint_Val.csv 等 5 个文件。
Context
COVID Fake News Detection Dataset
Content
It is a subtask in the CONSTRAINT - 2021 shared task on the hostile post detection. This subtask focuses on the detection of COVID19 - related fake news in English. The sources of data are various social - media platforms such as Twitter, Facebook, Instagram, etc.
Given a social media post, the objective of the shared task is to classify it into either fake or real news. https://competitions.codalab.org/competitions/26655