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A social network-based occupational psychological personality analysis method

A social network and analysis method technology, applied in the field of psychoanalysis, can solve problems such as emotional cognition and untargeted research, and achieve the effects of improving accuracy, improving analysis accuracy, high noise resistance and reliability

Active Publication Date: 2022-07-01
JINAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Emotion and interest recognition is a concrete manifestation of personality characteristics to a certain extent, but it is difficult to form a comprehensive cognition of people only by analyzing emotions
[0008] On the other hand, most of the current related research is on personality psychology in a general sense, and there is no targeted research on the field of recruitment-job hunting

Method used

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  • A social network-based occupational psychological personality analysis method
  • A social network-based occupational psychological personality analysis method
  • A social network-based occupational psychological personality analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0096] The present invention provides such as Figure 1-4 Shown is a social network-based occupational psychological personality analysis method, the specific steps are:

[0097] Step 1: Collect the basic information of the user, and label various usage behavior tags, topic tags, and emotional tendency tags according to the content of the basic information, and calculate the percentage of each tag used, and count the words in the basic information, including high-frequency words and their usage rates;

[0098] Step 2: Construct a four-dimensional classifier of MBTI professional personality, and divide personality into four dimensions: motivation (extroversion / introversion), information gathering (feeling / intuition), decision-making style (rational / emotional), and lifestyle (independence / dependence). There are a total of 16 combinations, using the training data to train the classifiers in four aspects respectively, and optimize the classifiers by predicting the accuracy and re...

Embodiment 2

[0116] In step 2, Logistic regression algorithm, artificial neural network, decision tree algorithm, KNN algorithm and Naive Bayes algorithm.

[0117] The advantages and disadvantages of each algorithm are as follows:

[0118]

[0119]

Embodiment 3

[0121] It can be known from Embodiment 1 and Embodiment 2 that:

[0122] In the second step, the Logistic regression algorithm is mostly used to estimate the possibility of a certain thing. It is a method of learning the f:X->Y equation or P(Y|X), where Y is a discrete value, and X= is any vector, in which each feature component Xi can take discrete or continuous values. It can be used for probabilistic prediction and classification, and it does not require the independence of each feature Xi. It is a commonly used machine learning method in the industry. Logistic regression methods include

[0123] 1) Construct the prediction function h;

[0124] 2) Construct the loss function J;

[0125] 3) Find a way to minimize the J function and obtain the regression parameter (θ) in three steps, where:

[0126] 1) Construct prediction function h, the present invention uses Logistic function (or Sigmoid function), the form is:

[0127] For the case of linear boundaries, the boundar...

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Abstract

The invention discloses a social network-based occupational psychological personality analysis method, which specifically relates to the field of psychological analysis. The specific steps are as follows: step 1: collecting basic information of users; step 2: constructing a four-dimensional classifier of MBTI occupational personality; step 3 : Send the new data set with modified weights to the lower-level classifier for training; Step 4: Complete the MBTI analysis report of the object. The present invention collects personal social network content and conducts a comprehensive and in-depth quantitative analysis, quantifies the relationship between personal microblog content and professional psychological personality by means of the MBTI model, and trains the classifier by collecting samples, so that the recruiter can The content published on the network can comprehensively, quickly and accurately judge its professional psychological character, and provide an objective basis for decision-making. Meanwhile, the present invention realizes the automation of the whole analysis process by using information technology, and greatly reduces the time cost of analysis.

Description

technical field [0001] The present invention relates to the technical field of psychological analysis, and more particularly, to a method for analyzing occupational psychological personality based on a social network. Background technique [0002] Psychoanalysis refers to a method of inferring from one psychological phenomenon another psychological phenomenon, characteristic or behavior according to the causal relationship between psychological phenomena and between psychological phenomena and behaviors. It judges a person's temperament, character, character, etc., makes a diagnosis of a certain mental disease, and analyzes a certain thinking through the analysis of people's psychological phenomena and activities (intellectual activities, emotional activities, volitional activities, dreams, etc.). process, predicting (predicting) a psychological phenomenon, etc. It can be used for identifying and employing people, interpersonal communication, psychological prediction, psych...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20G16H15/00G06F16/35G06K9/62
CPCG16H50/20G16H15/00G06F18/2148G06F18/24
Inventor 朱蔚恒龙舜石文娟王会进
Owner JINAN UNIVERSITY
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