公开(公告)号：US20250086389A1

公开(公告)日：2025-03-13

申请号：US18367310

申请日：2023-09-12

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Gayathri SARANATHAN ,  Nway Nway AUNG ,  Ariel BECK ,  Chandra Suwandi WIJAYA ,  Jianyu CHEN ,  Debdeep PAUL ,  Sahim YAMAURA ,  Koji MIURA

IPC: G06F40/279 ,  G06N20/00

Abstract: According to an embodiment, a method for generating textual features corresponding to text documents from a raw dataset is disclosed. The method includes preprocessing the text documents and determining topic probability scores (TPS) and confidence scores (CS) using unsupervised and supervised machine learning models, respectively. The combination of TPS and CS is used to generate a compound distribution score (CDS), which forms a comprehensive representation of the output of the machine learning models. The determined TPS, CS, and CDS are then used to generate a set of textual features, which serve as independent variables for a forecasting model.