股票预测数据集|文本分析数据集

<p>koen430/relevant_selected_stock_news|股票预测数据集|文本分析数据集</p><p>数据来源：公开网站</p><p>​数据规模​：</p><p>包含4,000条新闻记录数据特点​：</p><p>每条记录包含股票代码、新闻内容、预测标签及相关元数据。</p><p>结构化字段包括，新闻文本、URL、发布时间、预测结果（涨/跌）等。</p><p>适用于监督学习，训练模型预测新闻对股价的短期影响。</p><p>​应用场景​：</p><p>量化交易​、金融NLP​、学术研究​</p>

koen430/relevant_selected_stock_news | Stock Prediction Dataset | Text Analysis Dataset
Data Source: Publicly available websites
Data Scale:
Contains 4,000 news records
Data Characteristics:
Each record includes stock ticker, news content, prediction label and relevant metadata.
Structured fields include news text, URL, publication time, prediction results (up/down), and others.
This dataset is suitable for supervised learning to train models that predict the short-term impact of news on stock prices.
Application Scenarios:
Quantitative Trading, Financial NLP, Academic Research