Abstract: Embodiments relate to a computer system, computer program product, and method to prevent unauthorized file dissemination and replication. A file parameter is defined, with the defined file parameter including a file dissemination characteristic. The file is encoded with the defined file parameter as file metadata. Dissemination and replication of the file is managed responsive to the encoded file parameter. The defined parameter is assessed along with a physical replication destination. The file is selectively replicated or transmitted responsive to the file parameter and the destination assessment.

Abstract: According to one embodiment, a computer-implemented method includes obtaining a sensory profile, identifying an occurrence of a sensory aspect event affecting a user, comparing the sensory aspect event to the sensory profile, determining from comparing the sensory profile, whether the sensory aspect event is a positive sensory aspect, and countering and/or adjusting the sensory aspect event in response to determining the sensory aspect event is not a positive sensory aspect.

Abstract: At least some embodiments are directed to a computer-implemented method that comprises receiving original input text that includes a term, comparing a definition of the term to definitions of multiple candidate replacement terms to generate a set of candidate replacement terms, and substituting each of the candidate replacement terms in the set for the term in the original input text to produce a plurality of modified input texts. The method also comprises determining the grammatical accuracy of each of the plurality of modified input texts, comparing meanings of the modified input texts to a meaning of the original input text, and modifying the set of candidate replacement terms based on the determinations of grammatical accuracy and the comparisons of the meanings. The method still further comprises ranking the modified set of candidate replacement terms using one or more criteria, and displaying the ranking on a display.

Abstract: Technology for using a computing device to interpret entity and relationship occurrences a natural language understanding system that includes the following operations (not necessarily in the following order): (i) receiving a corpus that includes unstructured data and/or structured data; (ii) parsing the corpus to obtain parsed corpus information; (iii) applying artificial intelligence to the parsed corpus information to determine a plurality of logical relationships manifested by the corpus; and (iv) expressing, by machine logic, the plurality of logical relationships as a respectively corresponding plurality of logical rule expressions, with each logical rule expression of the plurality of logical rule expressions expressing the respectively corresponding logical relationship as fact(s) with regard to the corpus.

Abstract: Disclosed aspects relate to analytics engine selection management. A set of reference data may be ingested by a first analytics engine to compile a first set of characteristic data. The set of reference data may be ingested by a second analytics engine to compile a second set of characteristic data. The first set of characteristic data may be compiled for the first analytics engine. The second set of characteristic data may be compiled for the second analytics engine. A set of distinct attributes related to the first and second analytics engines may be determined based on the first and second sets of characteristic data. An analytics engine selection operation may be executed.

Abstract: Embodiments relate to a computer system, computer program product, and method to prevent unauthorized file dissemination and replication. A file parameter is defined, with the defined file parameter including a file dissemination characteristic. The file is encoded with the defined file parameter as file metadata. Dissemination and replication of the file is managed responsive to the encoded file parameter. The defined parameter is assessed along with a physical replication destination. The file is selectively replicated or transmitted responsive to the file parameter and the destination assessment.

Abstract: A computer-implemented method according to one embodiment includes receiving a first set of inputs from a first plurality of users. A history of interactions and/or collaborations of a first group of users of the first plurality of users is accessed. A latent class model of the first plurality of users is generated using information obtained from the accessing. It is determined from the latent class model whether any of the first plurality of users exceed a predetermined threshold of relatability. Users of the first plurality of users that are determined to exceed the predetermined threshold are allowed access to a generated first state of a forum. Users of the first plurality of users that are determined to not exceed the predetermined threshold and the users of the first plurality of users that are determined to exceed the predetermined threshold are allowed access to a generated second state of the forum.

Abstract: A computer-implemented method includes analyzing content associated with a plurality of users, selecting a group of users associated with a topic of the content and generating a class model for the group of users based on the analysis. The computer-implemented method also includes providing new content to the group of users and identifying a leader of the group of users based on relationships defined by the class model and the new content. The computer-implemented method also includes providing a notification to the leader, wherein the notification encourages the leader to engage with the new content.

Abstract: A computer-implemented method according to one embodiment includes receiving a first set of inputs from a first plurality of users. A history of interactions and/or collaborations of a first group of users of the first plurality of users is accessed. A latent class model of the first plurality of users is generated using information obtained from the accessing. It is determined from the latent class model whether any of the first plurality of users exceed a predetermined threshold of relatability. Users of the first plurality of users that are determined to exceed the predetermined threshold are allowed access to a generated first state of a forum. Users of the first plurality of users that are determined to not exceed the predetermined threshold and the users of the first plurality of users that are determined to exceed the predetermined threshold are allowed access to a generated second state of the forum.

Abstract: A method, system and computer program product for disambiguating meaning of terms. A natural language processing system obtains a first corpora of words used in a first sense and a second corpora of the same words that are used in a second sense. Each of these corpora of words may be associated with different linguistic domains. The natural language processing system generates a first and a second set of patterns using both the first and second corpora of words, respectively. A question passage is then received by the natural language processing system. The natural language processing system examines a word of interest in the question passage. The user is then notified that the word of interest is being used in the first sense or the second sense in response to identifying the word of interest in only the first set of patterns or the second set of patterns, respectively.

Abstract: A computer-implemented method according to one embodiment includes receiving a request to perform an action associated with a virtual monetary account, applying one or more rules associated with the virtual monetary account to one or more characteristics of the request, and conditionally implementing the request, based on results of the applying.

Abstract: According to one embodiment, a computer-implemented method includes obtaining a sensory profile, identifying an occurrence of a sensory aspect event affecting a user, comparing the sensory aspect event to the sensory profile, determining from comparing the sensory profile, whether the sensory aspect event is a positive sensory aspect, and countering and/or adjusting the sensory aspect event in response to determining the sensory aspect event is not a positive sensory aspect.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi control units (MCUs), in which a first MCU hosts a VOIP session. A method for recommending an MCU to host the VOIP session includes receiving MCU status associated with performance of each of the first MCU and a second MCU included in the VOIP system. The method further includes determining, based on the first and the second MCU status, that hosting the VOIP session on the second MCU can improve a VOIP system metric. According to the method, a recommendation is communicated to transfer hosting the VOIP session to the second MCU.

Abstract: A method, system and computer program product for disambiguating meaning of terms. A natural language processing system obtains a first corpora of words used in a first sense and a second corpora of the same words that are used in a second sense. Each of these corpora of words may be associated with different linguistic domains. The natural language processing system generates a first and a second set of patterns using both the first and second corpora of words, respectively. A question passage is then received by the natural language processing system. The natural language processing system examines a word of interest in the question passage. The user is then notified that the word of interest is being used in the first sense or the second sense in response to identifying the word of interest in only the first set of patterns or the second set of patterns, respectively.

Abstract: A method, system and computer program product for disambiguating meaning of terms. A natural language processing system obtains a first corpora of words used in a first sense and a second corpora of the same words that are used in a second sense. Each of these corpora of words may be associated with different linguistic domains. The natural language processing system generates a first and a second set of patterns using both the first and second corpora of words, respectively. A question passage is then received by the natural language processing system. The natural language processing system examines a word of interest in the question passage. The user is then notified that the word of interest is being used in the first sense or the second sense in response to identifying the word of interest in only the first set of patterns or the second set of patterns, respectively.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi control units (MCUs), in which a first MCU hosts a VOIP session. A method for recommending an MCU to host the VOIP session includes receiving MCU status associated with performance of each of the first MCU and a second MCU included in the VOIP system. The method further includes determining, based on the first and the second MCU status, that hosting the VOIP session on the second MCU can improve a VOIP system metric. According to the method, a recommendation is communicated to transfer hosting the VOIP session to the second MCU.

Abstract: A method for following asynchronous and synchronous productivity application communications includes providing, by an update processor, a targeted medium with a notification for changes associated with the productivity application communication based on a promotion of the productivity application communication to the targeted medium. The update processor further receives subscriptions for receiving update notifications through the targeted medium for the changes associated with the productivity application communication.

Abstract: At least some embodiments are directed to a computer-implemented method that comprises receiving original input text that includes a term, comparing a definition of the term to definitions of multiple candidate replacement terms to generate a set of candidate replacement terms, and substituting each of the candidate replacement terms in the set for the term in the original input text to produce a plurality of modified input texts. The method also comprises determining the grammatical accuracy of each of the plurality of modified input texts, comparing meanings of the modified input texts to a meaning of the original input text, and modifying the set of candidate replacement terms based on the determinations of grammatical accuracy and the comparisons of the meanings. The method still further comprises ranking the modified set of candidate replacement terms using one or more criteria, and displaying the ranking on a display.

Abstract: A Voice-over-IP (VOIP) system includes a plurality of multi control units (MCUs), in which a first MCU hosts a VOIP session. A method for recommending an MCU to host the VOIP session includes receiving MCU status associated with performance of each of the first MCU and a second MCU included in the VOIP system. The method further includes determining, based on the first and the second MCU status, that hosting the VOIP session on the second MCU can improve a VOIP system metric. According to the method, a recommendation is communicated to transfer hosting the VOIP session to the second MCU.

Abstract: Disclosed aspects relate to analytics engine selection management. A set of reference data may be ingested by a first analytics engine to compile a first set of characteristic data. The set of reference data may be ingested by a second analytics engine to compile a second set of characteristic data. The first set of characteristic data may be compiled for the first analytics engine. The second set of characteristic data may be compiled for the second analytics engine. A set of distinct attributes related to the first and second analytics engines may be determined based on the first and second sets of characteristic data. An analytics engine selection operation may be executed.