Abstract
It is important for businesses to have an insightful understanding of their customers' needs. It is often difficult to extract statistically meaningful and actionable insights from customer feedback. This disclosure describes the use of machine learning techniques to automatically summarize customer feedback and to generate insights from such summaries using natural language queries. The techniques scale with business size and product volume such that top of mind product issues can be identified from unstructured feedback. By enabling scalable examination, categorization, and natural language querying of customer feedback, the described techniques can help a business discover customer pain points. Raw customer feedback is transformed into actionable intelligence. A user interface can be provided that enables users to provide natural language queries, thus enabling personnel with little or no technical expertise to obtain insights from customer feedback.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Xu, Yuanzhi, "Customer Feedback Segmentation, Summarization, and Natural Language Querying Using Machine Learning", Technical Disclosure Commons, (January 29, 2024)
https://www.tdcommons.org/dpubs_series/6641