地球资源数据云——数据资源详情
该数据集《Liberals vs Conservatives on Reddit [13000 posts]》主要用于监督学习任务,数据形态以图像为主,应用场景偏向安全检测。 题目说明:Liberal vs Conservative Reddit Posts 任务类型:图像监督学习。 建议流程:先检查类别分布与脏样本,再用迁移学习(如 ResNet/EfficientNet)建立基线。 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:未检测到标准 CSV,可优先查看目录中的索引或说明文件。 Context Reddit is very politically divided and can represent the political ideals and divisions in our society today! It would be interesting to analyze the types of discussions Redditors on both sides of the political spectrum are having, and what topics are hottest lately! Feel free to perform NLP models or anything else, and please share your notebooks! Content 13000 rows of Reddit posts collected from Liberal and Conservative leaning subreddits. Acknowledgements
![Liberals vs Conservatives on Reddit [13000 posts]](https://www.gis5g.com/statics/images/20260317/1773727791732_cover_4x3.jpg)
该数据集《Liberals vs Conservatives on Reddit [13000 posts]》主要用于监督学习任务,数据形态以图像为主,应用场景偏向安全检测。 题目说明:Liberal vs Conservative Reddit Posts
任务类型:图像监督学习。
建议流程:先检查类别分布与脏样本,再用迁移学习(如 ResNet/EfficientNet)建立基线。
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:未检测到标准 CSV,可优先查看目录中的索引或说明文件。
Context
Reddit is very politically divided and can represent the political ideals and divisions in our society today! It would be interesting to analyze the types of discussions Redditors on both sides of the political spectrum are having, and what topics are hottest lately! Feel free to perform NLP models or anything else, and please share your notebooks!
Content
13000 rows of Reddit posts collected from Liberal and Conservative leaning subreddits.
Acknowledgements