Abstract: A technique may include generating a plurality of segments from sentences in a data set. The technique may further include determining the explanatoriness of each segment.

Abstract: According to an example, a dataflow directed acyclic graph including nodes and edges connecting the nodes. Parameters for the nodes are calculated, and the parameters may include batch size and a degree of parallelism.

Abstract: Computer-based methods, computer-readable storage media and computer systems are provided for optimizing integration flow plans. An initial integration flow plan, one or more objectives and/or an objective function related to the one or more objectives may be received as input. A computing cost of the initial integration flow plan may be compared with the objective function. Using one or more heuristics, a set of close-to-optimal integration flow plans may be identified from all possible integration flow plans that are functionally equivalent to the initial integration flow plan. A close-to-optimal integration flow plan with a lowest computing cost may be selected from the set as a replacement for the initial integration flow plan.

Abstract: A sentiment cube system is disclosed. In one example, the system discloses a sentiment storage, including a sentiment cube data structure having a set of cells arranged by a set of dimensions. The system includes a computer programmed with executable instructions which operate a set of modules, wherein the modules comprise: a sentiment storage module which receives sentiment values associated with a set of entity features, and then populates a hierarchy of the cells in the sentiment cube with the sentiment values. A sentiment analysis module effecting a set of operations on the sentiment cube.

Abstract: A method for quality objective-based ETL pipeline optimization is provided. An improvement objective is obtained from user input into a computing system. The improvement objective represents a priority optimization desired by a user for improved ETL flows for an application designed to run in memory of the computing system. An ETL flow is created in the memory of the computing system. The ETL flow is restructured for flow optimization with a processor of the computing system. The flow restructuring is based on the improvement objective. Flow restructuring can include application of flow rewriting optimization or application of an algebraic rewriting optimization. The optimized ETL flow is stored as executable code on a computer readable storage medium.

Abstract: A method of capturing intentions within online text comprises with a data mining device (105), identifying (block 305) a number of statements of intention within an online forum (110), and with the data mining device (105), extracting (block 310) a number of attributes (240, 245, 250, 255, 260) from the statements of intention. A system (100) for extracting intentions expressed within an online forum comprises a data mining device (105), a forum server (115) comprising a number of online forums (110) communicatively coupled to the data mining device (105), in which the data mining device identifies a number of statements of intention within the online forums (110) and extracts a number of attributes (240, 245, 250, 255, 260) from the statements of intention.

Abstract: Systems and methods are provided for determining an impact of a planned event. Traffic flow velocity is measured at each of a plurality of traffic sensors over a period of time before the planned event, with each traffic sensor having an associated geographical location. A plurality of measured traffic flow velocities for each traffic sensor are stored on a non-transitory computer readable medium. A traffic flow velocity at each traffic sensor is measured at each of a plurality of representative times within a defined time period including a known start time and an expected end time of the event. A threshold velocity is calculated from the stored traffic flow velocities for each traffic sensor corresponding to each representative time. For each representative time, a set of traffic sensors is determined at which the measured traffic flow velocity during the defined time period is less than the threshold velocity.

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: A method identifies news events that cause shifts in sentiments. The method includes compiling a sentiment time series, the sentiment time series expressing a shift in sentiment; compiling a news events time series; correlating the sentiment and news events time series; identifying from the correlation news events that caused a shift in sentiment and predicting if a selected news event may cause a shift in sentiment in the future.

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 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: 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: Embodiments described herein can be used to provide business intelligence. For example, a tangible, computer-readable medium may include code configured to direct a processor to create a conceptual model of an business process. The code may be configured to direct the processor to parse the conceptual model to create a logical model of the business process, and to parse the logical model to create a physical model of the business process.

Abstract: A method of visually representing how a sentiment score is computed comprises, with a sentiment scoring device, determining a number of sentiment scores for each of a number of attributes within a forum, writing a visualization file in a database based on metadata representing the sentiment scores, and outputting, to an output device, a representation of how the sentiment score was computed based on the visualization file. A system for displaying to a user how a sentiment score is computed comprises a sentiment scoring device, a forum source communicatively coupled to the sentiment scoring device, and an output device communicatively coupled to the sentiment scoring device, in which the sentiment scoring device obtains text from the forum source, determines sentiment scores for a number of attributes within the text, and outputs, to the output device, a representation of how the sentiment score was computed.

Abstract: Embodiments of the invention provide a method and an apparatus for creating a digital dashboard. One embodiment provides a dashboard palette in an application. In addition, at least one object is provided for the dashboard palette, wherein at least one property of the at least one object is linked to a data source. The at least one object is then coupled with the dashboard palette to form a dashboard description. The dashboard description is then exported to a dashboard creator and publisher, wherein the dashboard creator and publisher provide a functional dashboard based on the dashboard description.

Abstract: Information can be extracted from unstructured documents using embodiments described herein. An entity recognition may be performed on an unstructured document and found entities may be annotated. Annotating includes inserting tags around the found entities to generate marked entities. A rule is applied to each of the marked entities in the unstructured document to generate a confidence value for every marked entity, wherein the rule comprises a plurality of prefixes for a target entity and a plurality of suffixes for the target entity. A marked entity with the highest confidence value is selected as an extraction target.

Abstract: A sentiment cube system is disclosed. In one example, the system discloses a sentiment storage, including a sentiment cube data structure having a set of cells arranged by a set of dimensions. The system includes a computer programmed with executable instructions which operate a set of modules, wherein the modules comprise: a sentiment storage module which receives sentiment values associated with a set of entity features, and then populates a hierarchy of the cells in the sentiment cube with the sentiment values. A sentiment analysis module effecting a set of operations on the sentiment cube.

Abstract: A system and article are disclosed for objective-function based sentiment. In one example, the system includes a set of domain information, and a computer programmed with executable instructions which operate a set of modules. The modules include a sentiment polarization module for identifying a domain-aspect opinion-word pair within a set of domain data, and assigning a sentiment polarity score to the domain-aspect opinion-word pair based on an objective function which includes sentiment data from the domain information.

Abstract: A method for desensitizing character strings comprises ordering an original set of character strings and generating a tree structure that has nodes corresponding to the ordered set of sensitive strings. The sensitive characters on the nodes of the tree are then desensitized in depth-first order such that a set of desensitized strings is generated that preserves the ordering of the original sensitive set.

Abstract: Information can be extracted from unstructured documents using embodiments described herein. An entity recognition may be performed on an unstructured document and found entities may be annotated. Annotating includes inserting tags around the found entities to generate marked entities. A rule is applied to each of the marked entities in the unstructured document to generate a confidence value for every marked entity, wherein the rule comprises a plurality of prefixes for a target entity and a plurality of suffixes for the target entity. A marked entity with the highest confidence value is selected as an extraction target.