Abstract: A gas turbine engine is provided having a compressor section, a combustion section, and a turbine section. The compressor section includes one or more compressors and the turbine section includes one or more turbines. The one or more compressors and the one or more turbines are each rotatable about a longitudinal centerline of the gas turbine engine. Additionally, a bleed air flowpath is provided extending between an inlet in airflow communication with the compressor section and an outlet. An auxiliary turbine is positioned in airflow communication with the bleed air flowpath for extracting energy from a flow of bleed air through the bleed air flowpath.

Abstract: An airflow injection nozzle for a stage of airflow injection nozzles located in a turbine section of the gas turbine engine is provided. The airflow injection nozzle includes a leading end positioned opposite of a trailing end, as well as a pressure side positioned opposite of a suction side. The airflow injection nozzle includes an opening positioned on the pressure side oriented generally in a flow direction of the gas turbine engine for injecting a flow of bleed air from a compressor section of the gas turbine engine into the turbine section of the gas turbine engine.

Abstract: A gas turbine engine is provided having a compressor section, a combustion section located downstream of the compressor section, and a turbine section located downstream of the combustion section. A structural member extends from the compressor section to the turbine section for strengthening one or more components of the gas turbine engine. The structural member also defines a flowpath extending between an inlet in airflow communication with the compressor section and an outlet in airflow communication with the turbine section. The flowpath is configured to provide bleed air from the compressor section to the turbine section to capture at least a portion of the energy in such bleed air.

Abstract: An automated system for message analysis whereby messages within a given category may be identified and processed as a category connote. While a domain of messages may be monitored and processed in the due course of business, connote message are different. For example, a number of messages may fall into a domain of “poor airline food.” Such messages may be processed in the due course of business. However, a message with a different aspect, such as, “I found glass in my food,” may be initially identified as begin within the domain of “poor airline food,” and processed further to distinguish the message as being a connote with regard to the “poor airline food” category and warranting special handling.

Abstract: Contact centers may incorporate automated agents to respond to inquiries. The inquiries may solicit a substantive response, for example, by providing a time when the inquiry asks for the departure time for a flight. Such responses omit the normal conversational subject matter used to embellish person-to-person conversations and appear are very machine-like. Herein, a source of user context, such as a social media website, customer database, or other data, is accessed. Certain aspects of the customer may then be identified and used to embellish the reply with additional and/or alternative content. As a result, the reply may be more conversational.

Abstract: A contact center system can receive messages from social media sites or centers. The messages may include derogatory or nefarious content. The system can review messages to identify the message as nefarious and identify the poster as a social media provocateur. The system may then automatically respond to the nefarious content. Further, the system may prevent future nefarious conduct by the identified social media provocateur by executing one or more automated procedures.

Abstract: Contact centers employ agents to provide services to customers. In particular, artificial agents are provided that have a rich background and continuing life with the realm of social media. The artificial agent's profile is selected in accord with the profiles of current or prospective customers. As the customers age and progress in life, the artificial agent profile is updated in accord with the customers' changing profiles and similarly ages and progresses in life. When a customer desires to interact with artificial agent, for a purpose provided by a contact center, a human agent may be provided the profile and/or history of the artificial agent so as to impersonate the artificial agent and promote the relationship with the customer.

Abstract: A contact center system can receive messages from social media sites or centers. The messages may be in a foreign language. The system can review messages by identifying content in the social media messages with negative/positive sentiment and then identify a seed term in the messages. A seed term can be a word in another language, different from the message body. The seed term is then used to find one or more other words, in the foreign language, that are correlated with the seed term. The identification of the found words in other messages can then be used to determine sentiment in the foreign language.

Abstract: A contact center system can receive messages from social media sites or centers. The system can review long messages by identifying content in the long message with negative sentiment. The content with negative sentiment is further analyzed to determine whether the identified content is actionable. If the identified content is actionable, the communication system can automatically routed the long message to an agent for response.

Abstract: Automated method and systems are provided for determining a gap exists in an enterprise's knowledge base. Once a gap is determined, a question is developed in accord with the gap. An answer is then developed to answer the question and the knowledge base is updated accordingly. The source of the information may be cross-domain information such that an enterprise may include relevant information, and/or more usable information, than what could be otherwise provided by information limited to the enterprise's domain.

Abstract: A system and method for receiving literacy metrics for a plurality of authors, the literacy metrics being based on multiple revisions of a document performed by the plurality of authors. Analyzing the multiple revisions to identify interactions between the plurality of authors and providing for display a collaboration graph based on the interactions of the plurality of authors, is provided.

Abstract: A system and method for receiving literacy metrics for an author, the literacy metrics based on multiple revisions of a document performed by the author and performing a comparison between the literacy metrics of the author and aggregated literacy metrics and providing, by a processing device, a recommendation for the author based on the comparison, is provided

Abstract: A system and method for receiving a document from a document storage, the documents having multiple revisions. Conducting an analysis of the document by comparing the multiple revisions to identify differences between the revisions and attributing a set of revisions to an author of the document and analyzing text of the set of revisions to determine literacy metrics for the author, is provided.

Abstract: Social media websites occasionally experience a spike in activity known as a viral event or “going viral.” While some viral events are purely entertainment based, such as the latest cat video, other viral events can be specifically relevant to a domain, such as an industry or business. A social media event, such as a common thread of posts, may attract no more than the usual amount of interest or it may be about to “go viral.” As provided herein, social media events may be monitored and evaluated for virality. If an event indicates it will go viral, but has not yet done so, an affected party may be made aware of the event and take steps to curtail negative viral events or to leverage, or even promote, positive viral events.

Abstract: An automated system for message analysis whereby messages within a given category may be identified and processed as a category connote. While a domain of messages may be monitored and processed in the due course of business, connote message are different. For example, a number of messages may fall into a domain of “poor airline food.” Such messages may be processed in the due course of business. However, a message with a different aspect, such as, “I found glass in my food,” may be initially identified as begin within the domain of “poor airline food,” and processed further to distinguish the message as being a connote with regard to the “poor airline food” category and warranting special handling.

Abstract: Contact centers may incorporate automated agents to respond to inquiries. The inquiries may solicit a substantive response, for example, by providing a time when the inquiry asks for the departure time for a flight. Such responses omit the normal conversational subject matter used to embellish person-to-person conversations and appear are very machine-like. Herein, a source of user context, such as a social media website, customer database, or other data, is accessed. Certain aspects of the customer may then be identified and used to embellish the reply with additional and/or alternative content. As a result, the reply may be more conversational.

Abstract: Contact centers employ agents to provide services to customers. In particular, artificial agents are provided that have a rich background and continuing life with the realm of social media. The artificial agent's profile is selected in accord with the profiles of current or prospective customers. As the customers age and progress in life, the artificial agent profile is updated in accord with the customers' changing profiles and similarly ages and progresses in life. When a customer desires to interact with artificial agent, for a purpose provided by a contact center, a human agent may be provided the profile and/or history of the artificial agent so as to impersonate the artificial agent and promote the relationship with the customer.

Abstract: A dialog aggregator provided by a contact center communication system for text-based interaction chains is described along with various methods and mechanisms for administering the same. The dialog aggregator produces a summary, in real-time, of questions posed and existing answers in the interaction chain while identifying outstanding questions that have not been answered for display to an agent. The display includes any current answer the agent is working on as well as completed items and additionally executes rules based on the status of the remaining questions. The display in canonical form of the summary and outstanding question set enables a contact center agent or other observer of the interaction to quickly and efficiently assess the interaction history.

Abstract: Contact centers may benefit from routing messages to agents who have similar, or complementary, attributes as the customer of the message. In a text message, certain message attributes provide artifacts that may be common to one particular customer attribute. Messages containing that particular message attribute provide a derived customer attribute and the message routed accordingly. In addition, agents responding to a customer may be provided with guidance to ensure their response is appropriate for the derived customer attribute of the customer.

Abstract: A contact center system can receive messages from consumers. The system can then interact with the consumer or customer using a dialog. Before conducting the session with the consumer, past interactions using the dialog are reviewed to determine words, phrases, and other information that caused the dialog to be successful. The information is stored as norms. Upon beginning a new interaction with the dialog, the norms and the past successful dialogs are retrieved and compared to the active dialog while the interaction is on-going. The comparison is then used to ensure that the present active dialog will lead to a successful outcome or to resolve any issued if the outcome is not likely to be successful.