Leveraging Sentiment and Topic Detection Analysis for Decoding Player.. | N.Vasiljevic | DSCEurope23

Опубликовано: 04 Январь 2025
на канале: Data Science Conference
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Leveraging Sentiment and Topic Detection Analysis for Decoding Player Feedback in the Video Games Industry

Player feedback was essential during the production of a video game, and there came a time when a game was presented to a wider audience – a gameplay trailer, a demo, an early access, or, at last, a completed game. They all wanted to chime in - reviewers, other gaming professionals, and, of course, players, talking about what they liked and disliked. For game development studios, it was instrumental to collect that feedback and turn it into actionable insights about game design and marketing strategy, as well as to predict sales. It was the insights department’s job to ensure those insights, and here we showed you how we conducted sentiment and topic detection. You learned about different techniques for sentiment and topic analysis – from grounded theory and qualitative coding, to keyword extraction, application of classical machine learning algorithms, and finally openAI. The goal was to show you and inspire you to build this powerful decision-making tool.

This speech by Nikola Vasiljevic was held on November 22nd at Data Science Conference Europe 2023 in Belgrade.

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