Abstract: Aspects of the present invention disclose a method for detecting textual inputs of a user of a social media application and derives personality characteristic insights of a user. The method includes one or more processors identifying a textual data entry to an interactive internet-based application. The method further includes determining a tone of the textual data entry. The method further includes identifying a posting account corresponding to the textual data entry. The method further includes generating a personality profile corresponding to the posting account based on the textual data entry associated with the posting account. The method further includes determining a context of the textual data entry based on semantic features of the textual data entry. The method further includes classifying the personality profile corresponding to the posting account.

Abstract: Aspects of the present invention disclose a method for detecting textual inputs of a user of a social media application and derives personality characteristic insights of a user. The method includes one or more processors identifying a textual data entry to an interactive internet-based application. The method further includes determining a tone of the textual data entry. The method further includes identifying a posting account corresponding to the textual data entry. The method further includes generating a personality profile corresponding to the posting account based on the textual data entry associated with the posting account. The method further includes determining a context of the textual data entry based on semantic features of the textual data entry. The method further includes classifying the personality profile corresponding to the posting account.

Abstract: A cognitive, artificially intelligent system employs, in part, visual recognition and image processing to transform electronic design information, such as a schematic diagram, into a machine-readable data structure suitable for machine-based comparison of one data structure against another data structure of like kind. A comparison method identifies and quantifies similarities or equivalencies between the any such data structures, and hence between respectively corresponding electronic designs.

Abstract: Cognitive adaptation to user behavior which enables a system to automatically process an event according to a user's personalized preferences.

Abstract: A knowledge management system and method may include receiving a first set of keywords used to describe a problem from a first user, storing in a coincidence database a domain sample related to the domain of the problem and a context sample from the set of keywords, searching a knowledge management repository containing potential solutions to the problem, determining that a solution to the problem does not exist in the knowledge management repository, locating a second user that has previously described the problem, determining that the first user and the second user are a collaborative match, and connecting the first user to the second user.

Abstract: A cognitive, artificially intelligent system employs, in part, visual recognition and image processing to transform electronic design information, such as a schematic diagram, into a machine-readable data structure suitable for machine-based comparison of one data structure against another data structure of like kind. A comparison method identifies and quantifies similarities or equivalencies between the any such data structures, and hence between respectively corresponding electronic designs.

Abstract: A knowledge management system and method may include receiving a first set of keywords used to describe a problem from a first user, storing in a coincidence database a domain sample related to the domain of the problem and a context sample from the set of keywords, searching a knowledge management repository containing potential solutions to the problem, determining that a solution to the problem does not exist in the knowledge management repository, locating a second user that has previously described the problem, determining that the first user and the second user are a collaborative match, and connecting the first user to the second user.

Abstract: Cognitive adaptation to user behavior which enables a system to automatically process an event according to a user's personalized preferences.

Abstract: Cognitive adaptation to user behavior which enables a system to automatically process an event according to a user's personalized preferences.

Abstract: Cognitive adaptation to user behavior which enables a system to automatically process an event according to a user's personalized preferences.