Abstract: A remote, or cloud, gaming system includes a gaining server coupled to a client device and to a game controller via a network. The gaming server is configured to execute a video game application. Responsive to detecting instantiation of a player interactive window in a video stream generated in association with the video game application, the server is further configured to preventing one or more player inputs from the game controller that are received in a specified filter window following instantiation of the player interactive window from being interpreted by the video game application as player input that is reactive to the player interactive window.

Abstract: A processor executes program code that represents a portion of a video game and adds a sequence of text strings that represent game events to a text log during execution of the program code. The processor (or another processor that has access to the text log) performs a natural language processing (NLP) analysis of the text log to determine one or more characteristics of the portion of the video game. In some cases, the NLP analysis includes a sentiment analysis that attempts to determine characteristics of a player's experience while playing the video game, summarization technology that creates a human-readable summary of an aspect of the game or a portion of the video game, a semantic NLP ML algorithm in the semantic similarity modality to answer questions regarding the player's experience during the video game, or grouping players in a multiplayer game based on in-game behavior.

Abstract: A memory stores information representing a set of canonical utterances. A processor receives information representing an utterance from a first user of an application and selects a canonical utterance from the set of canonical utterances based on semantic comparisons of the utterance from the first user and the set of canonical utterances. The semantic comparisons include semantic retrieval and semantic similarity operations that can be performed by a semantic natural language processing machine learning model. The processor presents the canonical utterance to a second user of the application instead of presenting the utterance from the first user. In some cases, the processor replaces the utterances from the user in a text stream or a voice chat with the canonical utterances in the set of canonical utterances.

Abstract: A remote, or cloud, gaming system includes a gaining server coupled to a client device and to a game controller via a network. The gaming server is configured to execute a video game application. Responsive to detecting instantiation of a player interactive window in a video stream generated in association with the video game application, the server is further configured to preventing one or more player inputs from the game controller that are received in a specified filter window following instantiation of the player interactive window from being interpreted by the video game application as player input that is reactive to the player interactive window.

Abstract: A processor executes program code that represents a portion of a video game and adds a sequence of text strings that represent game events to a text log during execution of the program code. The processor (or another processor that has access to the text log) performs a natural language processing (NLP) analysis of the text log to determine one or more characteristics of the portion of the video game. In some cases, the NLP analysis includes a sentiment analysis that attempts to determine characteristics of a player's experience while playing the video game, summarization technology that creates a human-readable summary of an aspect of the game or a portion of the video game, a semantic NLP ML algorithm in the semantic similarity modality to answer questions regarding the player's experience during the video game, or grouping players in a multiplayer game based on in-game behavior.