地球资源数据云——数据资源详情

安倍晋三（日本首相）Twitter NLP

发布时间：2026-03-17 14:30:55资源ID：2032005542657298434资源类型：免费

该数据集《Shinzo Abe (Japanese Prime Minister) Twitter NLP》主要用于回归/预测任务，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：Let's analyze Japanese politician 任务类型：文本回归/预测。 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：Shinzo Abe Tweet 20171024 - Tweet.csv。 Context This dataset contains Japanese Prime Minister Tweet. Japanese culture, diplomatic problem ( North Korea and Tramp etc), time of disaster, economics... For example,14.April 2014 "Removing radiation contaminated water in all weather, 365/24 at Fukushima. I am deeply thankful for dedication and commitment of our peers." Maybe if you analyze his tweets about Japanese economy this data will be useful for stock price forecasting etc. Content This dataset contains following the data:

安倍晋三（日本首相）Twitter NLP

摘要概览

该数据集《Shinzo Abe (Japanese Prime Minister) Twitter NLP》主要用于回归/预测任务，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：Let's analyze Japanese politician

任务类型：文本回归/预测。

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：Shinzo Abe Tweet 20171024 - Tweet.csv。

Context

This dataset contains Japanese Prime Minister Tweet. Japanese culture, diplomatic problem ( North Korea and Tramp etc), time of disaster, economics... For example,14.April 2014 "Removing radiation contaminated water in all weather, 365/24 at Fukushima.

I am deeply thankful for dedication and commitment of our peers." Maybe if you analyze his tweets about Japanese economy this data will be useful for stock price forecasting etc.

Content

This dataset contains following the data: