Neutrosophic Analysis of the Cultural Impact of the Pinkullo in Llata: Integrating ChatGPT and fsQCA

This study explores the cultural impact of the Pinkullo, a traditional Andean aerophone, on the community of Llata, Peru, through an innovative approach that integrates neutrosophic set theory with computational methods. By employing fuzzy-set Qualitative Comparative Analysis (fsQCA) and a novel application of ChatGPT for neutrosophic sentiment analysis, the research investigates the complex interplay between the Pinkullo and various aspects of community life, including cultural participation, social impact, and cultural preservation. Textual data collected from surveys was analyzed using the "ChatGPT Constructor" add-on in Orange Data Mining to generate neutrosophic scores, representing the truth, indeterminacy, and falsity of expressed sentiments towards the Pinkullo. These scores were then fuzzified and incorporated into the fsQCA to identify the key configurations of factors that contribute to a high degree of cultural participation. The findings reveal that a positive sentiment towards the Pinkullo, combined with its perceived social impact and role in cultural preservation, constitutes a crucial pathway for fostering cultural engagement. This research not only provides valuable insights into the enduring significance of the Pinkullo in Llata but also demonstrates the potential of integrating large language models and neutrosophic logic to analyze complex cultural phenomena, paving the way for new interdisciplinary approaches in the study of cultural heritage..