US 10,853,583 B1Granted

Applied artificial intelligence technology for selective control over narrative generation from visualizations of data

AssigneeNarrative Science Inc.

InventorsDaniel Joseph Platt, Alexander Rudolf Sippel, Mauro Eduardo Ignacio Mujica-Parodi, III, Kathryn McCarthy Hughes, Bo He, Lawrence A. Birnbaum

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Abstract

To provide users with more flexibility for controlling narrative generation from visualizations of data, the inventors disclose how selective control can be provided over various aspects of the narrative generation process, such as selectively enabled and disabled narrative analytics for analyzing visualization data. For example, narrative analytics relating to segment analysis and trendline analysis with respect to line charts can be selectively enabled and disabled as part of the narrative generation process.

Claims43

Dependent claims

A method of applying artificial intelligence technology with respect to visualizations of data, the method comprising:

providing a user with an interface through which the user provides input that specifies one or more narrative analytics to be applied with respect to visualization data for a visualization;
receiving a specification of notionally expressed focus criteria with respect to the visualization, wherein the notionally-expressed focus criteria indirectly define a specific element of the visualization data in terms of characteristics of the specific element;
mapping the specification of notionally expressed focus criteria to a story configuration, the story configuration including associations with the specified narrative analytics;
applying the story configuration including the specified narrative analytics to a data set corresponding to the visualization data;
and
based on the applied story configuration, (1) determining the specific element of the visualization data that satisfies to the notionally expressed focus criteria, and (2) automatically generating a narrative story about the data set which includes a focus on the determined specific element;
and
wherein the method steps are performed by a processor.

5 more elements

A method of applying artificial intelligence technology with respect to visualizations of data, the method comprising:

providing a user with an interface through which the user provides input that provides selective control over narrative generation with respect to a visualization of a data set, the selective control including control over narrative analytics applied to the data set and a formatting of a narrative story;
receiving a specification of notionally expressed focus criteria with respect to the visualization;
mapping the specification of notionally expressed focus criteria to a story configuration, the story configuration including associations with the selectively controlled narrative analytics, and wherein the notionally-expressed focus criteria indirectly define a specific element of the data set in terms of characteristics of the specific element;
in response to the user input, applying the story configuration including the selectively controlled narrative analytics to the data set corresponding to the visualization;
and
based on the applied story configuration, (i) determining the specific element of the data set that satisfies to the notionally expressed focus criteria, and (ii) automatically generating a narrative story about the data set which includes a focus on the determined specific element, and wherein the generated narrative story exhibits a format in accordance with the formatting defined by the user input;
and
wherein the method steps are performed by a processor.

5 more elements

A computer program product for applying artificial intelligence technology with respect to visualizations of data, the computer program product comprising:

a plurality of processor-executable instructions resident on a non-transitory computer-readable storage medium, the instructions configured to (1) provide a user with an interface through which the user provides input that specifies one or more narrative analytics to be applied with respect to visualization data for a visualization, (2) receive a specification of notionally expressed focus criteria with respect to the visualization, wherein the notionally-expressed focus criteria indirectly define a specific element of the visualization data in terms of characteristics of the specific element, (3) map the specification of notionally expressed focus criteria to a story configuration, the story configuration including associations with the specified narrative analytics, (4) apply the story configuration including the specified narrative analytics to a data set corresponding to the visualization data, and (5) based on the applied story configuration, (i) determine the specific element of the visualization data that satisfies to the notionally expressed focus criteria, and (ii) automatically generate a narrative story about the data set which includes a focus on the determined specific element.

Dependencies are inferred from the claim text.

Facts

Application: 15/666,192Filed 1 Aug 2017 · us provisional application
Priority: 31 Aug 2016
Granted: 1 Dec 2020
Term ends: Not estimatedThe source records don’t support an estimate.

Classification17 codes

G06F 40/40
Handling natural language data: processing or translation of natural language
G06F 40/56
Rule-based translation: natural language generation
G06F 40/103
Text processing: formatting, i.e. changing of presentation of documents
G06F 40/169
Editing, e.g. inserting or deleting: annotation, e.g. comment data or footnotes