使用Azure ML对社交媒体帖子进行分类 [英] Using Azure ML to classify Social Media posts
问题描述
亲爱的,
我尝试使用二元分类实验(https://gallery.azure.ai/Experiment/Binary-Classification-Twitter-sentiment-analysis -4)对社交媒体帖子的数据集进行分类,利用另一组社交媒体帖子进行培训。
I try to use the binary classification experiment (https://gallery.azure.ai/Experiment/Binary-Classification-Twitter-sentiment-analysis-4) to classify a dataset of social media posts, leveraging a training another set of social media posts.
实验只是测试算法的工作情况,但我想调整一下它实际上是对测试数据集进行分类,因此我可以使用情绪分类进行进一步分析。
The experiment just performs tests how well the algorithms works, but I would like to adjust it in a way that it actually performs the classification on the test dataset so i can use the sentiment classification for further analysis.
如何调整预测情绪的工作流程是否附加在我的测试数据集中?
How do I need to adjust the workflow that the predicted sentiment gets appended in my test dataset?
非常感谢任何帮助。
非常感谢!
最佳
推荐答案
根据我的理解,你想要做的只是用经过训练的模型测试测试数据集?
As my understanding, what you want to do is to only test the test dataset with your trained model?
问候,
宇通
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