使用大型语言模型自动实时分类用户反馈
Automatic, Real-time Classification of User Feedback Using Large Language Models
AI总结：
本文介绍一个多年项目，利用大型语言模型自动分类用户反馈，降低时间与知识成本，使非技术用户也能实时访问评论、主题和分析，从而民主化数据分析过程。
摘要：
在本文中，我们讨论了一个正在进行的多年项目，该项目旨在通过自动化分类并提供对评论、主题和分析的实时访问，使开放文本反馈对用户体验从业者更易访问和有用。通过显著降低实施自动化解决方案的时间和知识成本，我们旨在有效民主化我们的数据分析过程，允许并鼓励非技术利益相关者自行访问和利用数据。我们分享了在此项目过程中遇到的组织和技术限制，以及由于这些限制而原型化的解决方案。
英文摘要：
In this paper we discuss an ongoing multi-year project that aims to make open text feedback more accessible and useful to UX practitioners by automating classification and providing real time access to comments, themes, and analysis. By significantly lowering the time and knowledge cost of implementing automated solutions, we aim to effectively democratize our data analysis processes, allowing and encouraging non-technical stakeholders to access and leverage data on their own. We share both the organizational and technical constraints we have encountered over the course of this project, and the solutions we have prototyped as a result of those constraints.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
