Abstract: Methods, systems, and computer program products for log-aided automatic query expansion based on model mapping are provided herein. A computer-implemented method includes generating a vector representation for each of multiple words derived from historical user queries, wherein each of said vector representations is based on one or more system logs; generating a vector representation for each of multiple documents in a corpus of documents related to solutions to one or more hardware problems and/or one or more software problems; generating a vector representation for a user query based on the generated vector representation for each of the multiple words derived from the historical user queries; comparing the vector representation for the user query to the vector representation for each of multiple documents in the corpus; and determining one or more documents from the corpus to output in response to the user query based on said comparing.

Abstract: Methods, systems and computer program products for generating hypergraph representations of dialog are provided herein. A computer-implemented method includes analyzing at least one dialog to identify one or more topics and one or more contributions by one or more persons to the one or more topics, tracking evolution of the identified topics over time in the at least one dialog, generating a hypergraph representation of the at least one dialog utilizing the identified topics, the identified contributions and the tracked evolution of the identified topics, and providing an interactive visualization tool based on the hypergraph representation of the at least one dialog.

Abstract: A technique for instance-specific feature-based cross-document sentiment aggregation includes analyzing input data to determine an entity referenced in the input data. One or more salient features of the entity are identified. Multiple documents that reference the entity are located. The salient features in each of the multiple documents are identified. Respective sentiment values are assigned to each of the salient features identified in the multiple documents. Respective sub-graphs are created for each of the multiple documents. The sub-graphs specify the sentiment values assigned to each of the salient features identified in an associated one of the multiple documents. The assigned sentiment values for each of the salient features are aggregated based on the sub-graphs. Finally, output data that is associated with the input data is generated. The output data provides an indication of the aggregated sentiment value for each of the salient features.

Abstract: A mechanism is provided in a data processing system for generating poll information from a chat session. The mechanism monitors chat content in the multiple user chat session. The mechanism identifies a poll question in a message within the chat content. The mechanism identifies a plurality of answers to the poll question in subsequent messages within the chat content. The mechanism generates a poll user interface presenting the poll question and the plurality of answers as selectable options and presents the poll user interface to the multiple users of the chat session.

Abstract: A mechanism is provided in a data processing system for generating poll information from a chat session. The mechanism monitors chat content in the multiple user chat session. The mechanism identifies a poll question in a message within the chat content. The mechanism identifies a plurality of answers to the poll question in subsequent messages within the chat content. The mechanism generates a poll user interface presenting the poll question and the plurality of answers as selectable options and presents the poll user interface to the multiple users of the chat session.

Abstract: A mechanism is provided in a data processing system for aggregating sentiment about an entity from a corpus of documents. The mechanism identifies a plurality of sentiment passages in the corpus of documents. Each of the plurality of sentiment passages includes a statement of sentiment about the entity. The mechanism determines a plurality of passage sentiment scores for the plurality of sentiment passages and an actual aggregate sentiment score from the plurality of passage sentiment scores based on a k-valued model. The mechanism determines a sentiment confidence score for the actual aggregate sentiment score based on the raw aggregate sentiment score and the actual aggregate sentiment score and presents the actual aggregate sentiment score and the sentiment confidence score.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract: A method for object popularity detection includes receiving expression data for a user viewing a first object, wherein the expression data includes at least one or more of: a viewing duration, a variation in heart rate of the user, one or more facial expressions of the user, and a variation in eye movement of the user. The expression data is aggregated into one or more models and a response is determined for sending to an electronic device associated with the user, based on the one or more models. The response is transmitted to the electronic device associated with the user.

Abstract: A method for object popularity detection includes receiving expression data for a user viewing a first object, wherein the expression data includes at least one or more of: a viewing duration, a variation in heart rate of the user, one or more facial expressions of the user, and a variation in eye movement of the user. The expression data is aggregated into one or more models and a response is determined for sending to an electronic device associated with the user, based on the one or more models. The response is transmitted to the electronic device associated with the user.

Abstract: A harvesting method and system is provided. The method includes extracting from a plurality of documents, content. The content is published in external glossaries. The content is arranged in a business content hierarchy and the business content hierarchy is published in a specified format. The business content hierarchy is enabled with respect to a plurality of projects. The content and business content hierarchy are updated and the updated content is arranged in the updated business content hierarchy.

Abstract: A harvesting method and system is provided. The method includes extracting from a plurality of documents, content. The content is published in external glossaries. The content is arranged in a business content hierarchy and the business content hierarchy is published in a specified format. The business content hierarchy is enabled with respect to a plurality of projects. The content and business content hierarchy are updated and the updated content is arranged in the updated business content hierarchy.

Abstract: A harvesting method and system is provided. The method includes extracting from a plurality of documents, content. The content is published in external glossaries. The content is arranged in a business content hierarchy and the business content hierarchy is published in a specified format. The business content hierarchy is enabled with respect to a plurality of projects. The content and business content hierarchy are updated and the updated content is arranged in the updated business content hierarchy.

Abstract: Methods, systems, and articles of manufacture for automatically determining targeted investigations on service delivery incidents are provided herein. A method includes creating an incident profile for a given set of incidents, wherein the incident profile comprises one or more details associated with the given set of incidents; matching the created incident profile with one or more existing class profiles associated with one or more incident investigation classes based on a comparison of the one or more details associated with the given set of incidents to the one or more existing class profiles; identifying one incident investigation within the one or more existing class profiles matching the created incident profile that most closely matches the created incident profile; and generating a recommendation to create an investigation for the given set of incidents based on the one incident investigation within the one or more existing class profiles.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. A pattern of actions included in interactions with a computer program is determined to be effective at proactively preventing a problem in the IT environment based on a frequency at which user(s) performed the interactions which perform text and statistical analyses of content of historical problem tickets. A script based on the pattern of actions is generated. A root cause of the problem is determined based on the text and statistical analyses. Responsive to a receipt of a new problem ticket, the script is executed to automatically perform the pattern of actions. The new problem ticket is classified as being in a group of problem tickets which are related to the problem and included in the historical problem tickets. The new problem ticket is determined to specify the problem which has the root cause.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. User interactions with a computer program are stored. The user interactions include inputs to the computer program to search for problem tickets issued in the IT environment that have the same characteristics. One or more user interaction patterns within the user interactions are recognized. A user interaction pattern of the one or more user interaction patterns is selected based on an evaluation of effectiveness of each of the one or more user interaction patterns. Based on the user interaction pattern, a rule is generated for determining which problem tickets in the IT environment share a common characteristic. The rule is applied to additional problem tickets issued in the IT environment to identify which of the additional problem tickets share the common characteristic.

Abstract: A system and associated method for detecting a statistical variation of a process from a textual log of the process as performed by a process behavior analysis (PBA) system for monitoring the process operating in an Information Technology (IT) delivery system. The PBA system includes a PBA engine and a data storage storing exception rules used by the PBA engine. The PBA engine merges entities appearing in the textual log into one or more groups based on similarities of respective time series of the entities. Control charts are generated for merged entities and the PBA engine subsequently analyzes process behavior of the process by use of the control charts for exceptions defined in the stored exception rules. The PBA engine generates a PBA report for the process pursuant to the analysis result of the textual log with detailed information including to what type of exceptions had or had not occurred.

Abstract: An approach is presented for identifying related problem tickets in an information technology (IT) environment. User interactions with a computer program are stored. The user interactions include inputs to the computer program to search for problem tickets issued in the IT environment that have the same characteristics. One or more user interaction patterns within the user interactions are recognized. A user interaction pattern of the one or more user interaction patterns is selected based on an evaluation of effectiveness of each of the one or more user interaction patterns. Based on the user interaction pattern, a rule is generated for determining which problem tickets in the IT environment share a common characteristic. The rule is applied to additional problem tickets issued in the IT environment to identify which of the additional problem tickets share the common characteristic.

Abstract: A system and associated method for detecting a statistical variation of a process from a textual log of the process as performed by a process behavior analysis (PBA) system for monitoring the process operating in an Information Technology (IT) delivery system. The PBA system includes a PBA engine and a data storage storing exception rules used by the PBA engine. The PBA engine merges entities appearing in the textual log into one or more groups based on similarities of respective time series of the entities. Control charts are generated for merged entities and the PBA engine subsequently analyzes process behavior of the process by use of the control charts for exceptions defined in the stored exception rules. The PBA engine generates a PBA report for the process pursuant to the analysis result of the textual log with detailed information including to what type of exceptions had or had not occurred.

Abstract: A harvesting method and system is provided. The method includes extracting from a plurality of documents, content. The content is published in external glossaries. The content is arranged in a business content hierarchy and the business content hierarchy is published in a specified format. The business content hierarchy is enabled with respect to a plurality of projects. The content and business content hierarchy are updated and the updated content is arranged in the updated business content hierarchy.