地球资源数据云——数据资源详情
股票新闻情绪分析（海量数据集）
该数据集《Stock News Sentiment Analysis(Massive Dataset)》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：Predict the sentiment of new news using NLP and this dataset. 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：Sentiment_Stock_data.csv。 Note This dataset is not shuffled The data has over 100000+ rows with sentences and sentiment of each sentence 0 represent that the news is negative or neutral (Therefore likely the stock will go down) 1 represent that the news is positive ( Therefore the likely stock will go up)
摘要概览
该数据集《Stock News Sentiment Analysis(Massive Dataset)》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：Predict the sentiment of new news using NLP and this dataset.
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：Sentiment_Stock_data.csv。
Note This dataset is not shuffled The data has over 100000+ rows with sentences and sentiment of each sentence 0 represent that the news is negative or neutral (Therefore likely the stock will go down) 1 represent that the news is positive ( Therefore the likely stock will go up)