Categories: FAANG

Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering

Teachers often conduct surveys in order to collect data from a predefined group of students to gain insights into topics of interest. When analyzing surveys with open-ended textual responses, it is extremely time-consuming, labor-intensive, and difficult to manually process all the responses into an insightful and comprehensive report. In the analysis step, traditionally, the teacher has to read each of the responses and decide on how to group them in order to extract insightful information. Even though it is possible to group the responses only using certain keywords, such an approach would…
AI Generated Robotic Content

Recent Posts

Next-Level Data Science (7-Day Mini-Course)

Before we start, let's ensure you are in the right place.

1 hour ago

Creating Custom Layers and Loss Functions in PyTorch

Creating custom layers and loss functions in

1 hour ago

The Role of Domain Knowledge in Machine Learning: Why Subject Matter Experts Matter

Machine learning (ML) is considered the largest subarea of artificial intelligence (AI) , studying the…

1 hour ago

Meta SAM 2.1 is now available in Amazon SageMaker JumpStart

This blog post is co-written with George Orlin from Meta. Today, we are excited to…

1 hour ago

The CFPB Work Freeze Is Putting Big Tech Regulations ‘On Ice’

The cease-work order at the Consumer Financial Protection Bureau won’t just affect lawsuits and enforcement…

2 hours ago

Truly autonomous AI is on the horizon

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI…

2 hours ago