Search Results for author: Teja Kanchinadam

Found 2 papers, 1 papers with code

A Simple yet Brisk and Efficient Active Learning Platform for Text Classification

1 code implementation31 Jan 2021 Teja Kanchinadam, Qian You, Keith Westpfahl, James Kim, Siva Gunda, Sebastian Seith, Glenn Fung

In this work, we propose the use of a fully managed machine learning service, which utilizes active learning to directly build models from unstructured data.

Active Learning BIG-bench Machine Learning +4

Graph Neural Networks to Predict Customer Satisfaction Following Interactions with a Corporate Call Center

no code implementations31 Jan 2021 Teja Kanchinadam, Zihang Meng, Joseph Bockhorst, Vikas Singh Kim, Glenn Fung

Customer satisfaction is an important factor in creating and maintaining long-term relationships with customers.

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