StoryQ-an Online Environment for Machine Learning of Text Classification

被引:0
|
作者
Finzer, William [1 ]
Chao, Jie [1 ]
Rose, Carolyn [2 ]
Jiang, Shiyan [3 ]
机构
[1] Concord Consortium, Concord, MA 01742 USA
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[3] North Carolina State Univ, Raleigh, NC USA
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The StoryQ environment provides an intuitive graphical user interface for middle and high school students to create features from unstructured text data and train and test classification models using logistic regression. StoryQ runs in a web browser, is free and requires no installation. AI concepts addressed include: features, weights, accuracy, training, bias, error analysis and cross validation. Using the software in conjunction with curriculum currently under development is expected to lead to student understanding of machine learning concepts and workflow; developing the ability to use domain knowledge and basic linguistics to identify, create, analyze, and evaluate features; becoming aware of and appreciating the roles and responsibilities of AI developers;. This paper will consist of an online demo with a brief video walkthrough.
引用
收藏
页码:12860 / 12860
页数:1
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