Abstract: Systems and methods for constructing an itinerary for a user based on articles of multimedia content are disclosed. One computer-implemented method may include: receiving, at the server and from a user device hosting a media streaming platform, an indication of selection by a user of a travel option associated with an aspect featured in an article of multimedia content presented on the media streaming platform; identifying, based on the receiving, a real-world location of the aspect; ascertaining, by the server, contextual information associated with the user; establishing, based on the real-world location of the aspect and the contextual information associated with the user, the itinerary for travel to the aspect; and presenting, subsequent to the establishing, a visual display of the itinerary on the media-streaming platform. Other aspects are described and claimed.

Abstract: Systems and methods for apprising a user of a proximately located aspect-of-interest are disclosed. One method may include: receiving an indication of a geographic location associated with the user; identifying an aspect associated with a multimedia content interest of the user; determining whether the geographic location associated is within a predetermined distance to a known location the aspect associated with the multimedia content interest; transmitting, responsive to determining that the geographic location is within the predetermined distance to the known location, instructions to a user device associated with the user to provide a notification to the user; receiving, at the server, another indication that the user has provided interaction input to the notification; and transmitting additional instructions to another device to perform an action that is based on the interaction input.

Abstract: Systems and methods for distributing rewards based on user actions performed in association with multimedia content are disclosed. One computer-implemented method may include: receiving, at the server, an indication of a real-world action performed by a user; identifying, by the server, that the real-world action corresponds to a rewards-based action performed in association with an article of multimedia content present on a media-streaming platform, wherein the rewards-based action at least corresponds to visitation to a geographic location associated with an aspect of the article of multimedia content; determining, by the server, whether performance of the rewards-based action necessitates distribution of a reward to the user, ascertaining, subsequent to determining that performance of the rewards-based action does necessitate distribution of the reward to the user, a type of the reward; and distributing, based on the ascertaining, the reward of the ascertained type to the user.

Abstract: Aspects of the disclosure relate to processing remotely captured sensor data. A computing platform having at least one processor, a communication interface, and memory may receive, via the communication interface, from a user computing device, sensor data captured by the user computing device using one or more sensors built into the user computing device. Subsequently, the computing platform may analyze the sensor data received from the user computing device by executing one or more data processing modules. Then, the computing platform may generate trip record data based on analyzing the sensor data received from the user computing device and may store the trip record data in a trip record database. In addition, the computing platform may generate user record data based on analyzing the sensor data received from the user computing device and may store the user record data in a user record database.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A method and system provide for automated counting of prescription product and enables virtual verification of the dispensed prescription product. The method and system include counting a quantity of pills of a prescription product on a first portion of a tray, retaining the quantity of pills after the counting in a second portion of the tray, receiving at least the second portion of the tray into an imaging device, and capturing, with a first camera, an image of the quantity of pills in the second portion of the tray.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts. In some embodiments, the data set may include voice data from a voice based assistant or a voice based survey.

Abstract: A system and method for processing and actionizing structured and unstructured experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: Technologies for natural language processing include a computing device that loads natural language text data that includes multiple words, such as a naturally elicited response or comment data. The computing device applies a constituency parser to the natural language text data to generate a constituency parse tree. The constituency parse tree may include multiple nodes that each correspond to a hierarchical constituent of the natural language text. The computing device applies a constituency rule to identify clauses in the natural language text data. The constituency rule may identify a left-most daughter of each subordinate clause node of the constituency parse tree. Each subordinate clause is distinct, preventing dependencies from crossing clause boundaries. The computing device applies a dependency parser to each clause to generate a corresponding dependency parse.

Abstract: A system and method for processing and actionizing structured and unstructured patient experience data is disclosed herein. In some embodiments, a system may include a natural language processing (NLP) engine configured to transform a data set into a plurality of concepts within a plurality of distinct contexts, and a data mining engine configured to process the relationships of the concepts and to identify associations and correlations in the data set. In some embodiments, the method may include the steps of receiving a data set, scanning the data set with an NLP engine to identify a plurality of concepts within a plurality of distinct contexts, and identifying patterns in the relationships between the plurality of concepts.

Abstract: The invention provides a multiple decked cargo container, suitable for use inter alia in aircraft catering operations. The container comprises a floating deck and vertically moveable roof, to allow for an increased load carrying capacity via two vertically stacked storage areas, whilst meeting height restrictions and providing sufficient headroom for ground crew to access the interior of the container.

Abstract: An interactive online learning system and method.