Papers › SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology

SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology

1 Nov 2018EMNLP 2018 11archive 2025-07-28

Md. Iftekhar Tanveer, Ferhan Ture

This paper describes SyntaViz, a visualization interface specifically designed for analyzing natural-language queries that were created by users of a voice-enabled product. SyntaViz provides a platform for browsing the ontology of user queries from a syntax-driven perspective, providing quick access to high-impact failure points of the existing intent understanding system and evidence for data-driven decisions in the development cycle. A case study on Xfinity X1 (a voice-enabled entertainment platform from Comcast) reveals that SyntaViz helps developers identify multiple action items in a short amount of time without any special training. SyntaViz has been open-sourced for the benefit of the community.

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Natural Language QueriesSentiment AnalysisTopic Models

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