Reaction based real time natural language content adjustment
AssigneeInternational Business Machines Corporation
InventorsShikhar Kwatra, Sai Krishna Reddy Gudimetla, Aaron K. Baughman, Mauro Marzorati
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Abstract
Using a sentiment analysis model, a reaction to a presentation of a first content is measured. Using the first content and the reaction, a content generation parameter is determined. Using a first content generation model and the content generation parameter, second content corresponding to the first content is generated. Using a second content generation model and the content generation parameter, third content corresponding to the first content is generated. The first content is adjusted by combining the first content with the second content and the third content, the adjusting resulting in an adjusted content.
Claims20
A computer-implemented method comprising:
- measuring, using a sentiment analysis model, a reaction to a presentation of a first content;
- determining, using the first content and the reaction, a content generation parameter, the content generation parameter comprising a weight to be applied to a portion of the first content, the weight set according to an importance of the portion;
- generating, using a first content generation model and the content generation parameter, second content corresponding to the first content, the second content comprising an illustration of a text-only portion of the first content;
- generating, using a second content generation model and the content generation parameter, third content corresponding to the first content, the third content comprising break content;
- and
- adjusting, by combining the first content with the second content and the third content, the first content, the adjusting resulting in an adjusted content.
A computer program product for content adjustment, the computer program product comprising:
- one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the stored program instructions comprising:
- program instructions to measure, using a sentiment analysis model, a reaction to a presentation of a first content;
- program instructions to determine, using the first content and the reaction, a content generation parameter, the content generation parameter comprising a weight to be applied to a portion of the first content, the weight set according to an importance of the portion;
- program instructions to generate, using a first content generation model and the content generation parameter, second content corresponding to the first content, the second content comprising an illustration of a text-only portion of the first content;
- program instructions to generate, using a second content generation model and the content generation parameter, third content corresponding to the first content, the third content comprising break content;
- and
- program instructions to adjust, by combining the first content with the second content and the third content, the first content, the adjusting resulting in an adjusted content.
A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage media, and program instructions stored on at least one of the one or more storage media for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:
- program instructions to measure, using a sentiment analysis model, a reaction to a presentation of a first content;
- program instructions to determine, using the first content and the reaction, a content generation parameter, the content generation parameter comprising a weight to be applied to a portion of the first content, the weight set according to an importance of the portion;
- program instructions to generate, using a first content generation model and the content generation parameter, second content corresponding to the first content, the second content comprising an illustration of a text-only portion of the first content;
- program instructions to generate, using a second content generation model and the content generation parameter, third content corresponding to the first content, the third content comprising break content;
- and
- program instructions to adjust, by combining the first content with the second content and the third content, the first content, the adjusting resulting in an adjusted content.
Dependencies are inferred from the claim text.