US 12,254,274 B2
Text classification method and text classification device
Feng Liu, Beijing (CN); Mengmeng Liu, Beijing (CN); Zhiming Zhang, Beijing (CN); Nan Liang, Beijing (CN); Jiawei Xu, Beijing (CN); and Zhentao Liu, Beijing (CN)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 17/802,349
Filed by Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
PCT Filed Nov. 19, 2020, PCT No. PCT/CN2020/130102
§ 371(c)(1), (2) Date Aug. 25, 2022,
PCT Pub. No. WO2021/189881, PCT Pub. Date Sep. 30, 2021.
Claims priority of application No. 202010221049.5 (CN), filed on Mar. 25, 2020.
Prior Publication US 2023/0139663 A1, May 4, 2023
Int. Cl. G06V 30/19 (2022.01); G06F 40/30 (2020.01); G06V 30/148 (2022.01); G06V 30/18 (2022.01); G06V 30/262 (2022.01)
CPC G06F 40/30 (2020.01) [G06V 30/153 (2022.01); G06V 30/18 (2022.01); G06V 30/19093 (2022.01); G06V 30/19107 (2022.01); G06V 30/19173 (2022.01); G06V 30/274 (2022.01)] 14 Claims
OG exemplary drawing
 
1. A computer-implemented text classification method comprising:
receiving text data comprising a test log from automatic testing of hardware and/or software, wherein the text data includes one or more text semantic units;
replacing the one or more text semantic units with corresponding one or more text keywords, based on a correspondence between text semantic units and text keywords; and
for each of the one or more text keywords:
extracting a semantic feature of the text keyword using a semantic model; and
classifying the text keyword based on the extracted semantic feature and a classification model, thereby obtaining a classification result of the text data, wherein the classification result indicates or identifies one or more of the following:
whether the automatic testing passed or failed, and
when the automatic testing failed, one or more errors in the test log.