Personal prediction method based on semantics, user equipment, storage medium and device

A prediction method and semantic technology, applied in the field of personality prediction, can solve the problems of low accuracy rate of personality prediction, improve clustering effect, improve accuracy, and solve the effect of low accuracy rate

Active Publication Date: 2019-05-31
SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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Problems solved by technology

[0008] The main purpose of the present invention is to provide a semantic-based personality prediction method, user equipment, storage medium and device, aiming to solve the technical problem of low accuracy of personality prediction

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  • Personal prediction method based on semantics, user equipment, storage medium and device
  • Personal prediction method based on semantics, user equipment, storage medium and device
  • Personal prediction method based on semantics, user equipment, storage medium and device

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Embodiment Construction

[0059] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0060] refer to figure 1 , figure 1 It is a schematic diagram of the user equipment structure of the hardware operating environment involved in the solution of the embodiment of the present invention.

[0061] Such as figure 1 As shown, the user equipment may include: a processor 1001 , such as a CPU, a communication bus 1002 , a user interface 1003 , a network interface 1004 , and a memory 1005 . Wherein, the communication bus 1002 is used to realize connection and communication between these components. The user interface 1003 may include a display screen (Display). The optional user interface 1003 may also include a standard wired interface and a wireless interface. The wired interface of the user interface 1003 may be a USB interface in the present invention. Optionally, the network interface 1004 may include ...

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Abstract

The invention discloses a semantic-based personality prediction method, user equipment, a storage medium and a semantic-based personality prediction device. The method comprises the following steps: firstly, obtaining each to-be-operated text feature word in a to-be-predicted text, calculating semantic weights corresponding to the to-be-operated text feature words, and clustering text vectors formed by the semantic weights to obtain semantic clustering vectors; Performing distributed representation processing on the to-be-predicted text to obtain a word vector, and training the word vector based on a preset convolutional neural network to obtain a neural prediction vector; And splicing the semantic clustering vector and the neural prediction vector to obtain a to-be-input vector, and predicting the personality of the user through a preset classifier according to the to-be-input vector. Obviously, the clustering result based on context semantics and the prediction result of the preset convolutional neural network are combined, the clustering effect is improved, the personality prediction accuracy is improved, and the technical problem that the personality prediction accuracy is lowis solved.

Description

technical field [0001] The present invention relates to the technical field of personality prediction, in particular to a semantic-based personality prediction method, user equipment, storage medium and device. Background technique [0002] The Big Five personality theory in the field of psychology has good application value and can be applied to different types of scenarios such as marketing scenarios, social network scenarios, and personnel management scenarios. The five personalities referred to by the Big Five personality theory are open personality, conscientiousness, extraversion, agreeableness, and neuroticism. [0003] For example, if the Big Five personality theory is applied to marketing scenarios, it is possible to analyze and explore the inner relationship between user personality and products by predicting the user's personality traits, so as to be able to more accurately recommend the products they like to users. For example, product recommendations, music rec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F16/35G06F16/33G06N3/04G06N3/08G06Q50/00
CPCY02D10/00
Inventor 刘晶陈思敏王江晴帖军尹帆郑禄
Owner SOUTH CENTRAL UNIVERSITY FOR NATIONALITIES
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