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Social media text-based big five personality prediction method

A technology of social media and prediction method, applied in the field of Big Five personality prediction based on social media text, which can solve the problems of few users and predicting users, etc.

Inactive Publication Date: 2018-08-14
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

In the construction of user portraits, the existing technologies often use the user's personal attributes as the target of prediction. These attributes include user gender, user age, user occupation, user education and geographical location, etc., but few studies have focused on the user's personality characteristics. Predict user attributes

Method used

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  • Social media text-based big five personality prediction method
  • Social media text-based big five personality prediction method
  • Social media text-based big five personality prediction method

Examples

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Embodiment Construction

[0042] The present invention is described below in conjunction with accompanying drawing and specific embodiment:

[0043] Such as figure 1 As shown, a big five personality prediction method based on social media text, including the following steps:

[0044] A. Preprocessing: collect the microblog text content, microblog release time, total number of microblogs, and original microblog numbers published by social media users and save them as social media user data sets; the social media user data sets are respectively The microblog text content, microblog release time, total number of microblogs, and original number of microblogs published by each social media user are saved as a set of data, so that each set of data corresponds to a social media user; Randomly select 80% of the data in the data set as the training data set, and the rest of the data as the data set to be predicted; distribute the five personality psychological scales to the corresponding social media users in ...

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Abstract

The invention discloses a social media text-based big five personality prediction method. The method comprises the four steps of A, performing preprocessing; B, extracting user features; C, building and training a big five personality prediction model; and D, predicting big five personality of a user. The big five personality preference of the user is mined based on a machine learning method and text information released in social media by the user, so that an accurate user portrait is realized and a technical foundation is laid for personalized search and recommendation.

Description

technical field [0001] The invention relates to the fields of social media user big five personality prediction and machine learning, in particular to a big five personality prediction method based on social media text. Background technique [0002] In recent years, the rapid development of the Internet has built a new bridge for people-to-people communication, and has gradually become an important channel for people to obtain information and communicate. Among them, people-centered social media is an important platform for information sharing. Social media users publish and share a large amount of data every day. These data can effectively describe the personal attributes of social media users and lay a good foundation for precision marketing and personalized services. How to effectively mine potential attributes and information of users is the key to the construction of user portraits. User portrait technology constructs its own portraits for different users to meet their ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/00G06N3/04
CPCG06Q50/01G06N3/045
Inventor 林鸿飞徐博彭朝亮
Owner DALIAN UNIV OF TECH
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