User portrait modeling method and system based on topic detection in text dialogue

A modeling method, a technology in dialogue, applied in the fields of semantic tool creation, electronic digital data processing, digital data information retrieval, etc., which can solve problems such as incapable of intelligent answering by users, addition of dialogue topic factors, etc.
CN107066567BActive Publication Date: 2021-08-31EMOTIBOT TECH LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
EMOTIBOT TECH LTD
Publication Date
2021-08-31

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Abstract

The present invention provides a user portrait modeling method and system based on topic detection in text dialogue. The method is: obtain multiple topics of text input by the user through a topic recognition system, and the multiple topics include main topics and secondary topics; Map multiple topics into a graph-structured topic relationship graph to form a topic map; update the topic map through logical rules or machine learning methods to obtain user portraits of users. The user portrait modeling method and system based on topic detection in the text dialogue of the present invention divides the topics in the user dialogue text into main topics and secondary topics, and establishes a topic graph for the main topics and secondary topics, according to each user The topics contained in the conversation content of the user update the topic map to obtain the user portrait of the user. According to the user portrait, in the process of man-machine dialogue, the user's personality factors are considered to make the man-machine dialogue more intelligent.
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Description

technical field

[0001] The invention relates to the field of artificial intelligence, in particular to the field of artificial intelligence dialogue. Background technique

[0002] Existing artificial intelligence dialogue systems model users based on their own information, such as gender, age, hometown, occupation, etc., and do not take user personality, such as topics of interest, as factors in forming user portraits. In natural conversations between people, frequently discussed topics represent personal interests. Therefore, in the artificial intelligence dialogue system, the topic that the user is interested in is an important factor in the user portrait.

[0003] Therefore, the technical defect in the prior art is: in the existing man-machine dialogue system, there is no dialogue topic factor representing the user's personality added to the user portrait, so that in the process of man-machine dialogue, it is impossible to give more intelligent information according to t...

Claims

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