Create Experiences
Teaching Sentiment Analysis with AI
Columbia Graduate School of Arts and Sciences (GSAS) student Hanying Wei developed Sentiment Analysis Tutor I and Sentiment Analysis Tutor II, a pair of AI tools that support students learning data analysis techniques. The first tool, Sentiment Analysis Tutor I, introduces students to the concept of sentiment analysis, explaining its purpose, applications, and relevance in an engaging and accessible manner. The second tool, Sentiment Analysis Tutor II, provides step-by-step guidance for conducting sentiment analysis in R or Python, helping even students with no prior coding experience. Used together, these tools provide accessible support for learning and applying practical skills in real-world data analysis.
Hanying Wei
Graduate School of Arts and Sciences
Create Experiences
Discover possible AI applications through these pedagogical experiments from the CTL and the Columbia community.
Are you creating classroom experiences with AI?
We want to learn from you! If you’re already using AI to design innovative learning experiences in your classroom, we’d love to hear about your approach. Additionally, if you have educational materials, tools, or resources that would benefit the broader Columbia teaching community, please consider sharing with our team at the CTL.