Abstract: A method for generating sum maries of text is described. The method includes the step of extracting features from text of text lists from summaries. The explanatoriness of the text is then evaluated, wherein evaluating the explanatoriness of text includes evaluating the features of the text, including at least the step of evaluating the discriminativeness of the features of the text by comparing the text to a first text data set, wherein the first text data set is derived from a topic label. The evaluated text is then ranked based on the explanatoriness evaluation.

Abstract: Data records containing user feedback regarding at least one offering are received. From among candidate attributes in the received data records, a subset of attributes that relate to user sentiment regarding the at least one offering is selected, where the selecting is according to selection criteria including frequency of occurrence of the candidate attributes, relative amounts of negative and positive feedback associated with the candidate attributes, and time density of feedback associated with the candidate attributes. A visualization of at least one sentiment characteristic of the selected subset of attributes that relate to user sentiment is presented for display.

Abstract: An example system includes at least one memory and at least one processing device. The at least one memory comprises instructions that when executed by the at least one processing device cause the system to receive a text corpus, filter the text corpus to obtain a plurality of attributes, determine the semantic cohesion between the plurality of attributes, and create an attribute cloud including the plurality of attributes, where the placement of the plurality of attributes within the attribute cloud is based at least in part on the determined semantic cohesion between the plurality of attributes.

Abstract: A system, method and a non-transitory computer readable medium comprising instructions for automated analysis of for analyzing social media, the method comprising a processor to acquire data as a snapshot or a continuous stream from one or more online sites via adapters. Storing data in a database, the database configured for rapid acquisition of data and rapid responses to queries from one or a plurality of users. Analyzing the data using one or a plurality of algorithms, the algorithms configured to distill insight at an attribute level, and presenting one or a plurality of graphical user interfaces on a user-configurable, and temporal-view adjustable dashboard, the dashboard configured to present one or more results of said one or a plurality of algorithms, said one or more results depicted through one or a plurality of paradigms of data visualization.

Abstract: An example system includes an extraction module, an intention processing module, and an intention visualization module. The extraction module is configured to ingest textual data from a text source. The intention processing module is configured to process the textual data and identify one or more intention statements within the textual data. The intention visualization module is configured to provide an interactive interface that facilitates filtering and visualization of aspects of the one or more intention statements.

Abstract: There is provided a computer-implemented method of performing sentiment analysis. An exemplary method comprises performing a first sentiment analysis on microblogging data based on a method using an opinion lexicon. The method also includes training a classifier using training data from the first sentiment analysis. Additionally, the method includes identifying a new opinion term in the microblogging data by performing a statistical test. The new opinion terms are not in the opinion lexicon. The method also includes identifying new microblogging data based on the new opinion term. Further, the method includes performing a second sentiment analysis on the new microblogging data using the classifier.

Abstract: There is provided a computer-implemented method of performing sentiment analysis. An exemplary method comprises identifying one or more sentences in a microblog. The microblog comprises an entity. The method further includes identifying one or more opinion words in the sentences based on an opinion lexicon. Additionally, the method includes determining, for each of the sentences, an opinion value for the entity. The opinion value is determined based on an opinion value for each of the opinion words in an opinion lexicon.

Abstract: Data records containing user feedback regarding at least one offering are received. From among candidate attributes in the received data records, a subset of attributes that relate to user sentiment regarding the at least one offering is selected, where the selecting is according to selection criteria including frequency of occurrence of the candidate attributes, relative amounts of negative and positive feedback associated with the candidate attributes, and time density of feedback associated with the candidate attributes. A visualization of at least one sentiment characteristic of the selected subset of attributes that relate to user sentiment is presented for display.

Abstract: The present disclosure provides a computer-implemented method of acquiring customer insight information in a retail environment. The method includes receiving a product interaction from a mobile device, the product interaction comprising a product identifier corresponding to a product located in the retail environment. The method also includes determining a customer location within the retail environment based on a planned location of the product. The method also includes performing a business action based, at least in part, on the product interaction. The method also includes storing customer insight information corresponding to the product interaction to a data structure.

Abstract: A method for managing devices is described. The method includes receiving wireless fingerprints from a plurality of devices, each of the wireless fingerprints comprising a unique device identifier, a wireless signal strength indicator that corresponds to a relative position a device is located with respect to one or more wireless access points and unique identifiers associated with the access points. The method further includes identifying a similarity between a first wireless fingerprint associated with a first of the plurality of devices and a second wireless fingerprint associated with a second of the plurality of devices and determining the first device is located physically close to the second device based on the similarity.

Abstract: Methods, systems and machine readable medium storing a machine readable program for managing data stored on a contactless flash memory device are disclosed. A compiled version of a hierarchical data model defined using a high level data structure definition language is provided at a host unit. The host unit is operable to run on a host platform. The compiled version of the hierarchical data model is compiled for the host platform. A first representation of a first hierarchical data structure is received from a contactless flash memory device at the host unit via a contactless communication channel. The first hierarchical data structure is a first instantiation of the hierarchical data model. A second representation of the first hierarchical data structure is generated in accordance with the compiled hierarchical data model at the host unit.

Abstract: A context relating to a service accessed in response to a request responsive to user action is determined. Based on the determined context, at least one of plural, different user profile personae is selected. The selected at least one user profile persona contains information useable during access of the service.

Abstract: An application for personal project management stored on a computer-readable medium, the application includes a workflow engine; a constraint programming solver and a user interface configured to receive input from a user input device to create a workflow model of a personal project. The constraint programming solver is configured to modify the workflow model during both design and run-time by adding suggestions or advertisements. The workflow engine is configured to present the workflow model through the user interface.

Abstract: A system and method is disclosed for generating a user profile. The method discloses: receiving a user profile request from a profile requester; identifying profile fragments with a profile mediator, from existing profiles in a profile corpus which are responsive to the user profile request; aggregating the identified profile fragments into the user profile response; and transmitting the user profile response to the profile requestor. The system discloses various means and modules for effecting the method.

Abstract: System and method for capturing and utilizing consumer purchase intent information comprise obtaining item information, from a user, in a plurality of formats from a plurality of sources, extracting keywords from the item information, organizing item information and keywords in a shopping list, and enabling a display of the shopping list to the user.

Abstract: A flash memory device is powered via an RF field generated by a host unit. A contactless communication channel is established between the flash memory device and the host unit. A first version of a data file, including a first plurality of data chunks, is downloaded from the flash memory device to the host unit. A second version of the data file, including a second plurality of data chunks, is generated at the host unit. Data chunk modifications to the first plurality of data chunks necessary to generate the second plurality of data chunks are identified at the host unit. The contactless communication channel is reestablished. The identified data chunk modifications to the first plurality of data chunks are performed thereby updating the first version of the data file stored on the flash memory device to the second version of the data file.

Abstract: Systems, methods, and other embodiments associated with tracking in store consumer behavior are described. One example method includes receiving a product tag data (PTD) and a personal data (PD) from a portable digital device (PDD). The PTD is associated with a scan of a product tag of a product. The example method may also include storing the PTD and the PD in a database. The example method may also include creating a virtual redeemable offer (VRO) based, at least in part, on an analysis of the PD, the PTD associated with the scan, and a product information (PI) associated with the product tag. The PI may be stored in the database and describes the product. The example method may also include providing the CRVC to the PDD.

Abstract: An exemplary method for repurposing user identity tokens comprises receiving identification information from a user, the user having an existing user identity token and seeking to repurpose the token, obtaining a repurpose identifier associated with the user, enabling a configuration of an identification tag based on the repurpose identifier, and associating the identification tag with the identity token.

Abstract: A method for managing devices is described. The method includes receiving wireless fingerprints from a plurality of devices, each of the wireless fingerprints comprising a unique device identifier, a wireless signal strength indicator that corresponds to a relative position a device is located with respect to one or more wireless access points and unique identifiers associated with the access points. The method further includes identifying a similarity between a first wireless fingerprint associated with a first of the plurality of devices and a second wireless fingerprint associated with a second of the plurality of devices and determining the first device is located physically close to the second device based on the similarity.

Abstract: A system and method of, and a service that employs, user authentication each employs a bluecard created by the service and stored on a personal trusted device (PTD). The system includes the service and the bluecard. The bluecard includes a unique identifier derived from a hardware address of the PTD. The PTD and the service communicate with one another over a personal area network (PAN) during user authentication. The method includes creating the bluecard and pushing the bluecard onto the PTD using an object exchange (OBEX) protocol of the PAN. The service includes a terminal and the created bluecard. The terminal has the PAN that communicates with the PTD. The bluecard is subsequently sent to the service from the PTD for user authentication via the PAN.