地球资源数据云——数据资源详情
NLP 2025 财经新闻市场事件数据集
该数据集《Financial News Market Events Dataset for NLP 2025》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Real - time market events data: sentiment, trading volume & impact levels 2025 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：financial_news_events.csv。 Financial News Events Dataset - Comprehensive Description Overview This synthetic dataset contains 3,024 records of financial news headlines centered around major market events from February 2025 to August 2025. The dataset captures real - time market dynamics, sentiment analysis, and trading patterns across global financial markets, making it ideal for financial analysis, sentiment modeling, and market prediction tasks. Dataset Specifications Total Records: 3,024 rows
摘要概览
该数据集《Financial News Market Events Dataset for NLP 2025》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Real - time market events data: sentiment, trading volume & impact levels 2025
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：financial_news_events.csv。
Financial News Events Dataset - Comprehensive Description
Overview
This synthetic dataset contains 3,024 records of financial news headlines centered around major market events from February 2025 to August 2025. The dataset captures real - time market dynamics, sentiment analysis, and trading patterns across global financial markets, making it ideal for financial analysis, sentiment modeling, and market prediction tasks.
Dataset Specifications
Total Records: 3,024 rows