{"ID":2870852,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.11777","arxiv_id":"2509.11777","title":"User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums","abstract":"Customer feedback in industrial forums offers rich but underexplored insights into real-world product experience. Yet systematic analysis remains challenging due to unstructured, domain-specific content and the scarcity of high-quality labeled datasets. This paper presents the User eXperience Perception Insights Dataset (UXPID), a collection of 7130 synthesized and anonymized user feedback branches extracted from a public industrial automation forum. Each JSON record contains multi-post comments enriched with metadata and annotated by a large language model (LLM) for UX insights, user expectations, severity ratings, sentiment, and topic classifications. UXPID is designed to facilitate research in user requirements, user experience (UX) analysis, and AI-driven feedback processing, particularly where privacy and licensing restrictions limit access to real-world data. It supports the training and evaluation of transformer-based models for tasks such as issue detection, sentiment analysis, and requirements extraction in technical forums, providing a valuable resource for advancing NLP methods within industrial product support and software engineering domains.","short_abstract":"Customer feedback in industrial forums offers rich but underexplored insights into real-world product experience. Yet systematic analysis remains challenging due to unstructured, domain-specific content and the scarcity of high-quality labeled datasets. This paper presents the User eXperience Perception Insights Datase...","url_abs":"https://arxiv.org/abs/2509.11777","url_pdf":"https://arxiv.org/pdf/2509.11777v2","authors":"[\"Mikhail Kulyabin\",\"Jan Joosten\",\"Choro Ulan uulu\",\"Nuno Miguel Martins Pacheco\",\"Fabian Ries\",\"Filippos Petridis\",\"Jan Bosch\",\"Helena Holmström Olsson\"]","published":"2025-09-15T10:58:41Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.LG\"]","methods":"[\"Transformer\",\"Large Language Model\",\"Language Model\"]","has_code":false}