Abstract: Modification of a user skill profile based upon social presence includes receiving a document indicating skill competencies of a user, and analyzing the document to determine a first model. The first model includes skill competencies indicated within the document. A social media profile associated with the user is received. The social media profile is analyzed to determine a second model. The second model includes current skills competencies of the user indicated by the social media profile. The first model and the second model is compared to determine missing skill competencies, the missing skill competencies including current skill competencies in the second model that are missing from the document. The document is modified to include the missing skill competencies.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.

Abstract: A system and method for generating dynamic, non-subjective hashtags using a corpus-based approach includes capturing social media outputs from a user and from cohorts of the user to create a user corpora and a user cohort corpora, respectively, storing the user corpora and the user cohort corpora in a computer readable storage device coupled to the computing system, deriving a hashtag collation model by analyzing the user corpora and the user cohort corpora, the hashtag collation model being stored on the computer readable storage device, generating a best matched hashtag using the hashtag collation model, wherein the hashtag collation model infers the optimal hashtag from the user corpora and user cohort corpora based on a usage of one or more terms within the user corpora and the user cohort corpora, and adjusting the best matched hashtag over time as the user corpora and the user cohort corpora change over time.

Abstract: A computer-implemented method includes receiving, by a computer device, an electronic notice of a current transaction being attempted by a first user at an electronic transaction device, the current transaction requiring access to a joint account, the first user and a second user having authority to access an asset in the joint account; comparing in real time, by the computer device, the current transaction to historical classification data; classifying in real time, by the computer device, the current transaction based on the comparing; and transmitting in real time, by the computer device, to the electronic transaction device an electronic communication indicating the current transaction is approved based on determining one of: the current transaction is classified as pre-approved; and the current transaction is classified as non-pre-approved and the current transaction does not exceed a predetermined threshold.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.

Abstract: Image description specificity determination is provided by a method that obtains digital content to be presented on a device to a user. The digital content includes a digital image, of which a description is to be provided to the user, and text. The method further analyzes the digital content and ascertains a context under which the description of the digital image is to be provided to the user. The method determines, based at least in part on the context, a level of specificity for describing the digital image to the user. The method presents the digital content, including the digital image, to the user in accordance with the determined level of specificity for describing the digital image.

Abstract: An approach is provided in which an information handling system creates a class model of a user based on analyzing a set of social media data corresponding to the user and extracted from a social media network. Next, the information handling system matches the class model to a set of product data corresponding to a product. Then, in response to matching the class model to the set of product data, the information handling system sends a request to the user to promote the business on the social media network.

Abstract: From monitored content posted on an online community platform, a contextual baseline model is constructed for a user, the contextual baseline model representing interactions of the user with communities on the online community platform. Using a processor and a memory, a community addition for the user is detected. An inconsistency measure for the community addition relative to the contextual baseline model is computed. Responsive to determining that the inconsistency measure is above an inconsistency threshold, a probability that the user would prefer to be removed from the community is computed. Upon the probability exceeding a probability threshold, the user is removed from the community.

Abstract: A system and method for generating dynamic, non-subjective hashtags using a corpus-based approach includes capturing social media outputs from a user and from cohorts of the user to create a user corpora and a user cohort corpora, respectively, storing the user corpora and the user cohort corpora in a computer readable storage device coupled to the computing system, deriving a hashtag collation model by analyzing the user corpora and the user cohort corpora, the hashtag collation model being stored on the computer readable storage device, generating a best matched hashtag using the hashtag collation model, wherein the hashtag collation model infers the optimal hashtag from the user corpora and user cohort corpora based on a usage of one or more terms within the user corpora and the user cohort corpora, and adjusting the best matched hashtag over time as the user corpora and the user cohort corpora change over time.

Abstract: Image description specificity determination is provided by a method that obtains digital content to be presented on a device to a user. The digital content includes a digital image, of which a description is to be provided to the user, and text. The method further analyzes the digital content and ascertains a context under which the description of the digital image is to be provided to the user. The method determines, based at least in part on the context, a level of specificity for describing the digital image to the user. The method presents the digital content, including the digital image, to the user in accordance with the determined level of specificity for describing the digital image.

Abstract: Modification of a user skill profile based upon social presence includes receiving a document indicating skill competencies of a user, and analyzing the document to determine a first model. The first model includes skill competencies indicated within the document. A social media profile associated with the user is received. The social media profile is analyzed to determine a second model. The second model includes current skills competencies of the user indicated by the social media profile. The first model and the second model is compared to determine missing skill competencies, the missing skill competencies including current skill competencies in the second model that are missing from the document. The document is modified to include the missing skill competencies.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.