US 11,989,513 B2
Quantitative comment summarization
Roy Bar-Haim, Tel Aviv (IL); Lilach Eden, Haifa (IL); Yoav Kantor, Haifa (IL); and Noam Slonim, Beit HaKerem (IL)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 26, 2021, as Appl. No. 17/240,550.
Prior Publication US 2022/0343073 A1, Oct. 27, 2022
Int. Cl. G06F 40/279 (2020.01)
CPC G06F 40/279 (2020.01) 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for quantitative comment summarization, comprising:
receiving a collection of comments;
identifying a set of candidate key points corresponding to the collection of comments;
selecting a subset of key points from the set of candidate key points, wherein the selected subset of key points comprises key points that are most salient in the collection of comments;
automatically mapping each comment within the collection of comments to any corresponding key points within the subset of key points based on a match score between each comment and key point pair; and
generating a summary comprising the subset of key points and an absolute number or percentage of the comments mapped to each key point.