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Data-Driven Development: Analysis and Utilization of Large Language Models for Drawing Insights From Video Game Reviews
https://doi.org/10.60154/ZeszytyNaukoweWSEI.2024.20.1.05
Abstract
This study investigates the use of GPT models for analyzing video game reviews. The research develops a methodology for efficiently gathering,classifying, and interpreting player feedback using GPT models and explores strategies for integrating insights into game development processes. Experiments using player reviews for “House Flipper 2” demonstrate the effectiveness of GPT models in extracting meaningful insights. Implications for game development, challenges associated with large-scale automated analysis, and future research directions are discussed.
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No. 20 (2024)
Published: 2024-12-31
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.