1 research outputs found
Teddy: A System for Interactive Review Analysis
Reviews are integral to e-commerce services and products. They contain a
wealth of information about the opinions and experiences of users, which can
help better understand consumer decisions and improve user experience with
products and services. Today, data scientists analyze reviews by developing
rules and models to extract, aggregate, and understand information embedded in
the review text. However, working with thousands of reviews, which are
typically noisy incomplete text, can be daunting without proper tools. Here we
first contribute results from an interview study that we conducted with fifteen
data scientists who work with review text, providing insights into their
practices and challenges. Results suggest data scientists need interactive
systems for many review analysis tasks. In response we introduce Teddy, an
interactive system that enables data scientists to quickly obtain insights from
reviews and improve their extraction and modeling pipelines.Comment: CHI'2