17823514. TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM simplified abstract (International Business Machines Corporation)
Contents
- 1 TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Original Abstract Submitted
TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM
Organization Name
International Business Machines Corporation
Inventor(s)
Gandhi Sivakumar of Bentleigh (AU)
Jianbin Tang of Doncaster East (AU)
TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17823514 titled 'TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAM
Simplified Explanation
- A computer program product, system, and method for training and using a sentiment machine learning module to determine a sentiment score. - Haptic metric values are collected from haptic interfaces embedded in input devices controlled by users to generate content. - A training set associates a haptic metric value with a sentiment score for the content generated by user interaction with an input device. - The sentiment machine learning module is trained to output the sentiment score based on input comprising the haptic metric value. - The haptic metric value received from an input device used by an active user interacting with the program is inputted to the sentiment machine learning module to output a haptic sentiment score for the value. - The haptic sentiment score is provided to the interactive program to control communications with the active user.
Potential Applications
- Interactive gaming - Virtual reality experiences - User feedback analysis in product design
Problems Solved
- Improving user experience in interactive programs - Enhancing user engagement and satisfaction - Providing real-time sentiment analysis based on haptic feedback
Benefits
- Personalized user interactions - Enhanced user immersion in virtual environments - Efficient sentiment analysis for content optimization
Original Abstract Submitted
Provided are a computer program product, system, and method for training and using a sentiment machine learning module to determine a sentiment score. Haptic metric values are collected from haptic interfaces embedded in input devices users control to generate content. A training set associates a haptic metric value resulting from a user interacting with an input device to generate content and a sentiment score for the content. A sentiment machine learning module is trained to output the sentiment score in a training set from input comprising the haptic metric value. A haptic metric value received from an input device, used by an active user interacting with the interactive program, is inputted to the sentiment machine learning module to output a haptic sentiment score for the haptic metric value. The haptic sentiment score is provided to an interactive program to control the interactive program communications with the active user.
