公开(公告)号：US20230122093A1

公开(公告)日：2023-04-20

申请号：US17992041

申请日：2022-11-22

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Dazhong SHEN ,  Chuan QIN ,  Chao WANG ,  Zheng DONG ,  Hengshu ZHU ,  Hui XIONG

IPC: G06F40/30 ,  G06F40/279 ,  G06F40/117 ,  G06N20/00

Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.

公开(公告)号：US20230004715A1

公开(公告)日：2023-01-05

申请号：US17939271

申请日：2022-09-07

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Peng WANG ,  Hengshu ZHU ,  Zheng DONG ,  Kaichun YAO ,  Chuan QIN

IPC: G06F40/279 ,  G06F40/253 ,  G06F16/33

Abstract: A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

公开(公告)号：US20230230035A1

公开(公告)日：2023-07-20

申请号：US17940544

申请日：2022-09-08

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Peng WANG ,  Zheng DONG ,  Hengshu ZHU ,  Xin SONG ,  Jing WANG ,  Jingshuai ZHANG

IPC: G06Q10/10 ,  G06K9/62

CPC classification number: G06Q10/101 ,  G06K9/6276 ,  G06K9/6272 ,  G06K9/6215 ,  G06Q50/01

Abstract: The present disclosure provides a method and apparatus for constructing an organizational collaboration network, and relates to the field of artificial intelligence, and particularly to the field of big data analysis. A specific implementation includes: acquiring collaborative data between at least one pair of organizations; calculating at least one collaboration index between each pair of organizations according to the collaborative data; calculating, for each pair of organizations, a degree of closeness between the pair of organizations according to a weighted sum of the at least one collaboration index between the pair of organizations; and using each organization as a node, a relationship between each pair of organizations as an edge, and the degree of closeness between each pair of organizations as a weight of the edge, to construct the organizational collaboration network.

公开(公告)号：US20220269952A1

公开(公告)日：2022-08-25

申请号：US17739555

申请日：2022-05-09

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Yihang CHENG ,  Hongke ZHAO ,  Hengshu ZHU ,  Zheng DONG ,  Xi ZHANG

IPC: G06N5/02 ,  G06N3/08

Abstract: Provided are a method of training a prediction model, a prediction method, an electronic device and a medium, which relate to the field of artificial intelligence technology, and in particular, to the field of Big Data. A prediction model includes a main prediction model and an auxiliary prediction model, a training sample set includes a project information sample of a project and an item information sample of an item associated with the project, a project information sample includes a project property information and a project comment information, and an item information sample includes an item comment information. The method includes: inputting the project comment information to the auxiliary prediction model to obtain an initial prediction semantic information; training the main prediction model by using the project property information and the initial prediction semantic information; and training the auxiliary prediction model by using the item comment information.