Abstract: Presenting a link label for multiple hyperlinks includes presenting a layered data element in an electronic message with a link label that represents multiple hyperlinks in a display, designating an active hyperlink from the multiple hyperlinks based on specific criteria associated with a recipient of the electronic message, and directing the recipient of the electronic message to an online location of the active hyperlink in response to user input selecting the link label.

Abstract: A discourse pattern is generated by analyzing a set of natural language interactions. A sensor activation plan corresponding to the discourse pattern is determined, the sensor activation plan comprising a data collection parameter corresponding to a first sensor. Within a first natural language interaction, a first pattern having above a threshold similarity to the discourse pattern is detected. Responsive to the detecting, a configuration of the sensor is adjusted according to the sensor activation plan.

Abstract: A system, method and computer program product for cognitive copy and paste. The method includes: receiving, at a hardware processor of a computer system, an input representing a selection of a content captured from a source application program, and receiving an input representing an identified target application program that will receive the selected content to be copied and rendered in the target application program. The selected content is analyzed to determine a context for the selected content; and a rendering of the selected content at a location within the destination application based on the determined context, the rendering achieving a best representation of the selected content on the destination application. The analyzing includes invoking a natural language processor to determine an intent, meaning, or an intended use of the selected content based on the determined context, and employs a support vector machine for determining a best format change when rendering.

Abstract: Chat discourse convolution can include performing a lexicographic analysis of the content of a chat message of a chat discourse and storing a result of the lexicographic analysis in a database. The convolution can further include generating a hash of the content of the chat message and generating a leximarker. The leximarker can encapsulate a reference to the stored lexicographic analysis as well as the hash of the content of the chat message.

Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Abstract: A computer-implemented method is provided. The embodiments include evaluating, by one or more processors, a specimen chart relative to a chart erratum model that has features mapped to an optimum state for a first chart type. The method also includes generating a first risk score for a first sample feature of the specimen chart. The first risk score may include a delta from the optimum state. The method also includes refactoring the specimen chart to mitigate the first risk score of the first sample feature.

Abstract: Determining a sentiment associated with a navigation path includes determining a cumulative sentiment score indicative of sentiment of web-based content previously viewed by a user; and iteratively performing: a) analyzing a sentiment of a next web-based content navigated to by the user to determine a content sentiment score; b) determining whether the cumulative sentiment score is different than the content sentiment score; c) notifying the user when the cumulative sentiment score is different than the content sentiment score; and d) updating the cumulative sentiment score based on the content sentiment score.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating hashtags. The method comprises receiving content to be posted on a social media service and analyzing the content to identify at least one item included in the content. Generating a first hashtag tree, wherein the content of the first hashtag tree contains information that indirectly relates to the identified at least one item, wherein the first hierarchical hashtag tree is comprised of multiple levels, wherein the first hierarchical hashtag tree includes words or phrases indirectly relates to the identified at least one item. Generating at least one hashtag from the first hierarchical hashtag tree and adding the at least one hashtag to the content and posting the content and the added at least one hashtag to the social media service, wherein the at least one hashtag is automatically added.

Abstract: In response to determining that an original message from a sender has been viewed by one or recipients of the original message, a determination is made whether the original message has been edited by the sender. In response to determining that the original message has been edited, another determination is made whether the edits are critical based, at least in part, on a change of context of the original message. In response to determining that the edits are critical, re-notifying the one or more recipients that the original message has been edited by the sender.

Abstract: A system determines if a user is hesitating when inputting a command based on a time delay. The system determines a severity value based on the hesitancy, and further determines whether or not to prompt the user to validate the command based (at least in part) on the severity value.

Abstract: The present disclosure includes customizing responses by an Artificial Intelligence (AI) system using a response mode for interaction with a user. A question or command is received at an AI system from an associated AI device which receives the question or command from an initiating user of a plurality of users in a vicinity of the AI device. A preference of an interaction mode for the initiating user is determined, and the preferred interaction mode is determined using a knowledge corpus. An answer to the question or command using the AI system is generated. Using the AI device, a communication to the initiating user which includes the answer is initiated, via a communication mode based on the interaction mode preference of the initiating user.

Abstract: Delivering content based on predicted effect can include analyzing, using computer hardware, digital content before providing the digital content to a device of a user, predicting, using the computer hardware, an effect that the digital content will have on a circadian rhythm of the user, based on the predicted effect, modifying, using the computer hardware, the digital content to generate modified digital content, and providing, using the computer hardware, the modified digital content to the device of the user.

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: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

Abstract: Systems and methods for communication inversion for online communities are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computing device, that an online community has a low vitality; determining, by the computing device and based on the detecting that the online community has a low vitality, a related community is associated with the online community; detecting, by the computing device, a participant communication within the related community; and redirecting, by the computing device, the participant communication to the online community.

Abstract: Approaches for dynamic file name generation are provided. A computer-implemented method includes: receiving, by a naming server, user input defining a file naming convention; associating, by the naming server, the file naming convention with a user account; receiving, by the naming server, a first request for a file name from a first user device associated with the user account; generating, by the naming server, a first file name using the file naming convention in response to the first request; transmitting, by the naming server, the first file name to the first user device; receiving, by the naming server, a second request for a file name from a second user device associated with the user account, the second user device being different from the first user device; generating, by the naming server, a second file name using the file naming convention in response to the second request; and transmitting, by the naming server, the second file name to the second user device.

Abstract: A computer program product, a method, and an information handling system is provided to associate keywords used for unsuccessfully searching for a shared URL contents with a confidence level of predicting an adjustment of search engine optimization (SEO) for finding the shared URL due to changing the shared URL contents and performing an action based on the confidence level.

Abstract: Provided is a method, computer program product, and virtual reality (VR) system for altering a VR simulation based on the physical capabilities of a user. A processor may receive one or more personal health factors corresponding to a user. The processor may prepare a VR simulation for a rendering. The processor may identify one or more physical characteristics of the user from the personal health factors. The processor may determine if the one or more physical characteristics affect the interaction of the user within the VR simulation. The processor may modify, in response to determining the one or more physical characteristic affect the interaction of the user within the VR simulation, user input options for interacting with the VR simulation. The processor may modify the rendering of the VR simulation in a display of a VR device based on the modified user input options.

Abstract: Systems and methods of the invention determine evasiveness of postings and manage chat sessions accordingly. In embodiments, a method includes accessing a real-time text-based discourse session comprised of multiple text-based posts published by participants, the posts including a question from an author and responses from at least one respondent; determining relationships between words in the text-based discourse session utilizing corpus linguistics analysis; determining a frequency of the responses of the at least one respondent over time; determining an evasiveness score for each of the responses based on natural language processing of the responses, wherein each of the evasiveness scores indicate a level of relevance of a response with respect to the question; determining rankings for each of the responses based on the determined relationships of words, the frequency of the responses, and the evasiveness scores; and determining a display order for the responses based on the rankings of the responses.

Abstract: Embodiments of the invention include a method, system and computer program product for a dynamic Web actions palette. In an embodiment of the invention, a method of dynamically configuring a Web actions palette includes loading text from a message received in a communications program executing in memory of a computer and identifying in the text, a suggestion to perform an action in connection with a Web site remote from the computer. The method also includes generating a network request to perform the action in the Web site and configuring a button to transmit the generated network request and updating a palette of one or more buttons with the configured button for display in the computer. Finally, the method includes displaying the palette in the computer and repeating the loading, identifying, generating, configuring and displaying for additional messages received in the communications program.