公开(公告)号：US11501547B1

公开(公告)日：2022-11-15

申请号：US17858634

申请日：2022-07-06

Applicant: SAS Institute Inc.

Inventor： Teresa S. Jade ,  Xiao Li ,  Chunqi Zuo ,  Paul Jeffrey Kovach

IPC: G06F16/335 ,  G06V30/19 ,  G06F40/10

Abstract: Text profiles can be leveraged to select and configure models according to some examples described herein. In one example, a system can analyze a reference textual dataset and a target textual dataset using text-mining techniques to generate a first text profile and a second text profile, respectively. The first text profile can contain first metrics characterizing the reference textual dataset and the second text profile can contain second metrics characterizing the target textual dataset. The system can determine a similarity value by comparing the first text profile to the second text profile. The system can also receive a user selection of a model that is to be applied to the target textual dataset. The system can then generate an insight relating to an anticipated accuracy of the model on the target textual dataset based on the similarity value. The system can output the insight to the user.

公开(公告)号：US11423680B1

公开(公告)日：2022-08-23

申请号：US17565824

申请日：2021-12-30

Applicant: SAS Institute Inc.

Inventor： Teresa S. Jade ,  Xiao Li ,  Chunqi Zuo ,  Paul Jeffrey Kovach

IPC: G06F16/335 ,  G06V30/19 ,  G06F40/10

Abstract: Text profiles can be leveraged to select and configure models according to some examples described herein. In one example, a system can analyze a reference textual dataset and a target textual dataset using text-mining techniques to generate a first text profile and a second text profile, respectively. The first text profile can contain first metrics characterizing the reference textual dataset and the second text profile can contain second metrics characterizing the target textual dataset. The system can determine a similarity value by comparing the first text profile to the second text profile. The system can also receive a user selection of a model that is to be applied to the target textual dataset. The system can then generate an insight relating to an anticipated accuracy of the model on the target textual dataset based on the similarity value. The system can output the insight to the user.