US 12,086,171 B2
Word mining method and apparatus, electronic device and readable storage medium
Yang Zhang, Beijing (CN); Shuangquan Yang, Beijing (CN); Lei Han, Beijing (CN); Keke Zhou, Beijing (CN); Yi Xie, Beijing (CN); Wei Zhou, Beijing (CN); Junyi Chen, Beijing (CN); Dongjian Shi, Beijing (CN); Guihua Bai, Beijing (CN); and Xuan Li, Beijing (CN)
Assigned to BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD., Beijing (CN)
Filed by BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD., Beijing (CN)
Filed on Jul. 12, 2022, as Appl. No. 17/812,120.
Claims priority of application No. 202110925212.0 (CN), filed on Aug. 12, 2021.
Prior Publication US 2023/0052623 A1, Feb. 16, 2023
Int. Cl. G06F 7/00 (2006.01); G06F 16/33 (2019.01); G06F 40/289 (2020.01)
CPC G06F 16/3344 (2019.01) [G06F 16/3347 (2019.01); G06F 40/289 (2020.01)] 17 Claims
OG exemplary drawing
 
1. A word mining method, comprising:
acquiring search data;
taking first identification information, a search sentence and second identification information in the search data as nodes, and taking a relationship between the first identification information and the search sentence, a relationship between the first identification information and the second identification information and a relationship between the search sentence and the second identification information as sides to construct a behavior graph;
obtaining a label vector of each search sentence in the behavior graph according to a search sentence with a preset label in the behavior graph;
determining a target search sentence in the behavior graph according to the label vector; and
extracting a target word from the target search sentence, and taking the target word as a word mining result of the search data,
wherein the taking first identification information, a search sentence and second identification information in the search data as nodes, and taking a relationship between the first identification information and the search sentence, a relationship between the first identification information and the second identification information and a relationship between the search sentence and the second identification information as sides to construct a behavior graph comprises:
acquiring a known target word;
taking the known target word, the first identification information, the search sentence and the second identification information as the nodes; and
taking the relationship between the first identification information and the search sentence, the relationship between the first identification information and the second identification information, the relationship between the search sentence and the second identification information and a relationship between the search sentence and the known target word as sides to construct the behavior graph.