Back to results
US 2023/0412686 A1Published application
Resolving polarity of hosted data streams
AssigneeTruist Bank
InventorTariq Sulaiman Mansaray
Life of this patent
Estimating the term…
Abstract
Disclosed are systems and methods that that automatically classify, filter, and reduce large volumes of hosted content data using artificial intelligence technology. The aggregated hosted content data is reduced by representing the hosted content data as sets of data polarity identifiers or data polarity values that correspond to one or more sequencing identifiers that are displayed on a graphical user interface. Hosted content data packets are segmented by labeling the hosted content data packets with a sequencing identifier. The hosted content data packets are processed utilizing neural network technology to classify the hosted content data according to a polarity identifier, polarity value, sentiment identifier, or one or more subject identifiers.
Claims20
A system for resolving the attributes of hosted content data, the system comprising:
- a first computing device, wherein the first computing device comprises one or more integrated software applications that perform the operations comprising:
- (a) transmitting by a Remote Host application programming interface (API), a remote content data request to a remote hosting provider, wherein the remote content data request comprises (i) an enterprise identifier, and (ii) a requested content range;
- (b) receiving by the Remote Host API, in response to the content data request, one or more hosted content data packets, wherein each hosted content data packet comprises (i) user content data, and (ii) sequencing data that falls within the requested content range;
- (c) receiving by a reduction software service, (i) the one or more hosted content data packets, and (ii) enterprise content parameter data comprising one or more sequencing identifiers that each represent a sequence range;
- (d) executing by the reduction software service, operations comprising
- (i) determining whether each of the one or more hosted content data packets falls within a sequencing range by processing the sequencing identifiers and the sequencing data for each of the hosted content data packets,
- (ii) labeling the one or more hosted content data packets with at least one of the sequencing identifiers when the hosted content data packet falls within at least one of the sequencing ranges,
- (iii) performing a polarity analysis that (A) processes the user content data for each hosted content data packet labeled with at least one of the sequencing identifiers, and (B) outputs a polarity identifier for each of the one or more sequencing identifiers.
5 more elements
A system for resolving the attributes of hosted content data, the system comprising:
- a first computing device, wherein the first computing device comprises one or more integrated software applications that perform the operations comprising:
- (a) transmitting by a Remote Host application programming interface (API), a remote content data request to a remote hosting provider, wherein the remote content data request comprises (i) an enterprise identifier, and (ii) a requested content range;
- (b) receiving by the Remote Host API, in response to the content data request, one or more hosted content data packets, wherein each hosted content data packet comprises (i) user content data, and (ii) sequencing data that falls within the requested content range;
- (c) executing by a reduction software service, a segmentation operation that utilizes enterprise content parameter data comprising one or more sequencing identifiers that each represent a sequence range, wherein executing the segmentation operation comprises the steps of
- (i) determining whether each of the one or more hosted content data packets falls within a sequencing range by processing the sequencing identifiers and the sequencing data for each of the hosted content data packets, and
- (ii) labeling the one or more hosted content data packets with at least one of the sequencing identifiers when the hosted content data packet falls within at least one of the sequencing ranges;
- and
- (d) receiving by a reduction software service, the one or more hosted content data packets labeled with at least one of the sequencing ranges;
- (e) executing by the reduction software service, a polarity analysis that (i) processes the user content data for each hosted content data packet labeled with at least one sequencing identifier, and (ii) generates a polarity identifier for each sequencing identifier;
- and
- (f) executing by the reduction software service, a subject classification analysis that (i) processes the user content data for each for each hosted content data packet labeled with at least one sequencing identifier, and (ii) generates at least one subject identifier for each sequencing identifier.
8 more elements
A computer-implemented method for resolving the attributes of messaging data, the method comprising:
- (a) transmitting to a remoting hosting provider technology platform, a remote content data request comprising (i) an enterprise identifier, and (ii) a requested content range;
- (b) receiving in response to the content data request, one or more hosted content data packets, wherein each hosted content data packet comprises (i) user messaging data, and (ii) sequencing data that falls within the requested content range;
- (c) executing a segmentation operation utilizing enterprise content parameter data that comprises one or more time period identifiers that each represent a time period range, wherein executing the segmentation operation comprises the steps of
- (i) determining whether each of the one or more hosted content data packets falls within a time period range by processing the time period identifiers and the sequencing data for each of the hosted content data packets, and
- (ii) labeling the one or more hosted content data packets with at least one of the time period range identifiers when the hosted content data packet falls within at least one of the time period ranges;
- and
- (d) performing a polarity analysis that (A) processes the user messaging data for each hosted content data packet labeled with at least one of the time period identifiers, and (B) outputs a polarity identifier and a polarity score for each of the one or more time period identifiers.
4 more elements
Dependencies are inferred from the claim text.