US 12,412,022 B2
Visual text summary generation
Jessica Lundin, Bellevue, WA (US); Sönke Rohde, San Francisco, CA (US); Owen Winne Schoppe, Orinda, CA (US); Michael Sollami, Cambridge, MA (US); David Woodward, Bozeman, MT (US); Brian Lonsdorf, San Francisco, CA (US); and Alan Martin Ross, San Francisco, CA (US)
Assigned to Salesforce, Inc., San Francisco, CA (US)
Filed by salesforce.com, inc., San Francisco, CA (US)
Filed on Dec. 6, 2021, as Appl. No. 17/542,844.
Prior Publication US 2023/0177250 A1, Jun. 8, 2023
Int. Cl. G06F 40/103 (2020.01); G06F 40/247 (2020.01); G06N 5/04 (2023.01); G06T 11/60 (2006.01)
CPC G06F 40/103 (2020.01) [G06F 40/247 (2020.01); G06N 5/04 (2013.01); G06T 11/60 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
receiving an input text;
extracting keywords from the input text;
generating representative keywords from the keywords;
generating a graph representation of the representative keywords, wherein the graph representation comprises nodes representing the keywords and edges connecting the nodes and wherein at least three of the nodes are connected cyclically;
receiving images associated with the representative keywords;
selecting a visual-representation style based on the graph representation of the representative keywords, wherein the selected visual-representation style comprises at least two disjoint visual elements; and
arranging the images associated with the representative keywords according to the selected visual-representation style and the graph representation of the representative keywords.