Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: A method, computer program product, and system includes a processor(s) obtaining content displayed to the user on a computing device communicatively coupled to an input device(s) and/or output device(s). The processor(s) analyzes the content, to identify portions that represent types of content and tags the identified portions with one or more generic tags. The processor(s) generates a sentiment profile of the user by identifying interests of the user and identifying subjects of past electronic communications by the user. The processor(s) maps sentiments in the sentiment profile, to topics, based on the interests and the subjects identified. The processor(s) identifies an identified portion of the content relevant to a topic(s) mapped to a sentiment. The processor(s) generates and implements a physical change to the input device(s) or output device(s) to elicit a sentiment from the user, where the sentiment is mapped to the topic(s).

Abstract: A method, computer program product, and system for enhancing dynamically enhancing query results. A processor(s) monitors computing activities performed by a user, via a client. The processor(s) analyzes the computing activities to identify data comprising a user profile: elements relevant to the user and relationships. The processor(s) generates a knowledge graph with the data. The processor(s) obtains input from the user. The processor(s) executes one or more queries on one or more data sources to retrieve standard search results. The processor(s) analyzes the input and the search results to identify segments of the input and the search results relevant to items comprising the data in the graph and defines links between the items, the data, and the segments. The processor(s) generates contextual search results that include the standard search results, a portion of the items, and a portion of the links and transmits the contextual search results, to the client.

Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: A method, computer program product, and system for enhancing dynamically enhancing query results. A processor(s) monitors computing activities performed by a user, via a client. The processor(s) analyzes the computing activities to identify data comprising a user profile: elements relevant to the user and relationships. The processor(s) generates a knowledge graph with the data. The processor(s) obtains input from the user. The processor(s) executes one or more queries on one or more data sources to retrieve standard search results. The processor(s) analyzes the input and the search results to identify segments of the input and the search results relevant to items comprising the data in the graph and defines links between the items, the data, and the segments. The processor(s) generates contextual search results that include the standard search results, a portion of the items, and a portion of the links and transmits the contextual search results, to the client.

Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: A system includes a distribution center for scanning mail intended for and received from clients in a community. The mail scanned for generating sender, recipient, type, and arrival data. Category data is generated and includes a payables category, a donation category, and a printed matter category. Client preferences data is also generated. The data is mined to find commonalities of mail sent to and received from clients. An action is invoked based on the mined data and it is determined that the action is a payables, donation, or printed matter action. If the action is either a payables or donation action then, a client and a third party are notified prior to execution of the action. If the action is a printed matter action then, then a printed matter shared by more than one client is presented for sharing.

Abstract: Activity by a particular user accessing content within an interface is monitored to identify points of interest within the one or more interfaces. Each of the points of interest identified within interface is mapped to a separate content element displayed within the interface to form a model correlating each separate content element with a user interest of the particular user. Based on the model, within a stream accessed for review by the particular user, a flow of a selection of entries of interest that meet the user interest is identified from among multiple entries in the stream. A separate selectable navigation breakpoint is selectively displayed with each of the selection of entries of interest within the stream, wherein selection of each separate selectable navigation breakpoint steps through the flow of the selection of entries of interest only.

Abstract: Activity by a particular user accessing content within an interface is monitored to identify points of interest within the one or more interfaces. Each of the points of interest identified within interface is mapped to a separate content element displayed within the interface to form a model correlating each separate content element with a user interest of the particular user. Based on the model, within a stream accessed for review by the particular user, a flow of a selection of entries of interest that meet the user interest is identified from among multiple entries in the stream. A separate selectable navigation breakpoint is selectively displayed with each of the selection of entries of interest within the stream, wherein selection of each separate selectable navigation breakpoint steps through the flow of the selection of entries of interest only.

Abstract: A tool is provided for document or design code completion. The tool includes a storage element in which common and user-specific unfinished work indicators are stored in first and second databases, respectively, a search element and a processor. The search element is disposed to identify unfinished work in documents by searching for matches of first text within the documents with second text of the common and user-specific work indicators in the first and second databases. The processor is configured to create a third database including the second text and pertinent sections of the documents. The pertinent sections are respectively associated with the second text and verifiably marked as unfinished by natural language processing of the first and second text by the processor. The processor is further configured to update the first and second databases based on results of the natural language processing.

Abstract: A method, computer program product, and system includes a processor(s) obtaining content displayed to the user on a computing device communicatively coupled to an input device(s) and/or output device(s). The processor(s) analyzes the content, to identify portions that represent types of content and tags the identified portions with one or more generic tags. The processor(s) generates a sentiment profile of the user by identifying interests of the user and identifying subjects of past electronic communications by the user. The processor(s) maps sentiments in the sentiment profile, to topics, based on the interests and the subjects identified. The processor(s) identifies an identified portion of the content relevant to a topic(s) mapped to a sentiment. The processor(s) generates and implements a physical change to the input device(s) or output device(s) to elicit a sentiment from the user, where the sentiment is mapped to the topic(s).

Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: A question is analyzed to determine a set of categories, a category corresponding to a type of possible answers responsive to the question. A set of opinions is extracted from social media data. Each opinion is from a corresponding responder on a social media platform to which the question is sent. An opinion from the set of opinions is categorized into a category from the set of categories. A strength of the opinion is computed using a subset of a set of strength parameters. The opinion is ranked according to the strength of the opinion. The opinion, the strength, and the category are presented in a filterable presentation.

Abstract: Embodiments include methods, systems and computer program products for enhanced information retrieval using associated terms. In some embodiments, a request for content may be received from a user of a user device. A term association model associated with the term may be obtained. The term association model is a statistical language model. A plurality of content items may be obtained using data from the request for content. A ranking of the plurality of content items may be generated using a user-specific term association framework generated using the term association model. Presentation of the ranking of the plurality of content items to the user of the user device may be facilitated.

Abstract: A tool is provided for document or design code completion. The tool includes a storage element in which common and user-specific unfinished work indicators are stored in first and second databases, respectively, a search element and a processor. The search element is disposed to identify unfinished work in documents by searching for matches of first text within the documents with second text of the common and user-specific work indicators in the first and second databases. The processor is configured to create a third database including the second text and pertinent sections of the documents. The pertinent sections are respectively associated with the second text and verifiably marked as unfinished by natural language processing of the first and second text by the processor. The processor is further configured to update the first and second databases based on results of the natural language processing.

Abstract: Disclosed aspects include alerting a user of an indicated impact of a command using a weight for the command. Using a set of command data which indicates an impact of a first command, a first weight for the first command is established. By monitoring a user, a predicted execution of the first command is detected. By comparing the first weight with a threshold weight, a determination is made to provide an alert to the user. In response to making the determination, the alert is provided to the user.

Abstract: Activity by a particular user accessing content within an interface is monitored to identify points of interest within the one or more interfaces. Each of the points of interest identified within interface is mapped to a separate content element displayed within the interface to form a model correlating each separate content element with a user interest of the particular user. Based on the model, within a stream accessed for review by the particular user, a flow of a selection of entries of interest that meet the user interest is identified from among multiple entries in the stream. A separate selectable navigation breakpoint is selectively displayed with each of the selection of entries of interest within the stream, wherein selection of each separate selectable navigation breakpoint steps through the flow of the selection of entries of interest only.

Abstract: Activity by a particular user accessing content within an interface is monitored to identify points of interest within the one or more interfaces. Each of the points of interest identified within interface is mapped to a separate content element displayed within the interface to form a model correlating each separate content element with a user interest of the particular user. Based on the model, within a stream accessed for review by the particular user, a flow of a selection of entries of interest that meet the user interest is identified from among multiple entries in the stream. A separate selectable navigation breakpoint is selectively displayed with each of the selection of entries of interest within the stream, wherein selection of each separate selectable navigation breakpoint steps through the flow of the selection of entries of interest only.

Abstract: Disclosed aspects include alerting a user of an indicated impact of a command using a weight for the command. Using a set of command data which indicates an impact of a first command, a first weight for the first command is established. By monitoring a user, a predicted execution of the first command is detected. By comparing the first weight with a threshold weight, a determination is made to provide an alert to the user. In response to making the determination, the alert is provided to the user.