Nvidia corporation (20240331382). EVENT INFORMATION EXTRACTION FROM GAME LOGS USING NATURAL LANGUAGE PROCESSING simplified abstract

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EVENT INFORMATION EXTRACTION FROM GAME LOGS USING NATURAL LANGUAGE PROCESSING

Organization Name

nvidia corporation

Inventor(s)

James Lewis Van Welzen of Sandy UT (US)

Prakash Yadav of Pune (IN)

Charu Kalani of Bothell WA (US)

Jonathan White of Fort Collins CO (US)

EVENT INFORMATION EXTRACTION FROM GAME LOGS USING NATURAL LANGUAGE PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240331382 titled 'EVENT INFORMATION EXTRACTION FROM GAME LOGS USING NATURAL LANGUAGE PROCESSING

The abstract describes a system that performs natural language processing on text generated by a game to extract in-game events. The text is received by the system from the game and then processed to identify various conditions such as victory, points scored, eliminations, etc. The system may extract these events using event templates and parameters.

  • Natural language processing used to extract in-game events from text generated by a game
  • Text received from the game may contain information about game conditions such as victory, points scored, eliminations, etc.
  • System processes the text to extract events using event templates and parameters
  • Text may be included in messages sent by the game to the system or in game log entries
  • Events extracted from the text provide insights into the gameplay and achievements within the game

Potential Applications: - Enhancing player experience by providing detailed insights into in-game events - Improving game analytics and performance tracking - Facilitating automated reporting and notifications for players and developers

Problems Solved: - Streamlining the process of extracting in-game events from text data - Enhancing the understanding of player achievements and progress within the game

Benefits: - Real-time tracking of in-game events - Improved player engagement and retention - Enhanced game development and optimization based on player behavior data

Commercial Applications: Title: "Enhancing Player Experience Through In-Game Event Extraction Technology" This technology can be utilized in various commercial applications such as: - Game development companies for improving game analytics and player engagement - Gaming platforms for enhancing user experience and providing personalized recommendations - Esports organizations for analyzing player performance and strategies

Questions about In-Game Event Extraction Technology:

1. How does the system differentiate between various in-game events based on the text generated by the game? The system uses natural language processing techniques to analyze the text and identify specific conditions or actions that correspond to different in-game events.

2. Can this technology be applied to different types of games, such as mobile games, console games, or online multiplayer games? Yes, the system can be adapted to work with various types of games as long as the text generated by the game contains information about in-game events that can be extracted using natural language processing.


Original Abstract Submitted

in various examples, natural language processing may be performed on text generated by a game to extract one or more in-game events from the game. the system (e.g., a client device and/or server) may receive the text in the form of one or more strings generated by a game application. the system may then extract one or more in-game events from the text using natural language processing. the game may include the text in a message it sends to the system (e.g., using an application programming interface (api)) and/or in a game log entry or notification. the text may be generated based at least on the game determining one or more conditions are satisfied in the gameplay (e.g., victory, points scored, milestones, eliminations, item acquisition, etc.). the text may be mapped to event templates, which may then be used to extract parameters of events therefrom.