Cargando…

Association between community psychological label and user portrait model based on multimodal neural network

By analyzing traditional deep learning multimode retrieval methods, an optimized multimode retrieval model based on convolutional neural network is established. This article proposes an innovative semi-supervised social network user portrait analysis model (UPAM) based on user portrait model, which...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Hao, Yin, Xuehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449543/
https://www.ncbi.nlm.nih.gov/pubmed/36092110
http://dx.doi.org/10.3389/fpsyg.2022.918274
_version_ 1784784324000743424
author Jiang, Hao
Yin, Xuehong
author_facet Jiang, Hao
Yin, Xuehong
author_sort Jiang, Hao
collection PubMed
description By analyzing traditional deep learning multimode retrieval methods, an optimized multimode retrieval model based on convolutional neural network is established. This article proposes an innovative semi-supervised social network user portrait analysis model (UPAM) based on user portrait model, which integrates users’ social information and some known user attribute information (such as educational background and residence) into a unified topic model framework. Finally, a semi-supervised user portrait analysis method based on user social information and partial known user attribute information is proposed. According to the correlation of user attributes, the cross-validation method is used to train model prediction task and improve the prediction effect. In the first-level model, using a different model to extract the features in the user query, the basis of the second hierarchy model, Stacking is used to further integrate characteristics, finally realizing the attribute population forecast, and experimental verification showing the proposed model’s effectiveness in various attributes of a population.
format Online
Article
Text
id pubmed-9449543
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-94495432022-09-08 Association between community psychological label and user portrait model based on multimodal neural network Jiang, Hao Yin, Xuehong Front Psychol Psychology By analyzing traditional deep learning multimode retrieval methods, an optimized multimode retrieval model based on convolutional neural network is established. This article proposes an innovative semi-supervised social network user portrait analysis model (UPAM) based on user portrait model, which integrates users’ social information and some known user attribute information (such as educational background and residence) into a unified topic model framework. Finally, a semi-supervised user portrait analysis method based on user social information and partial known user attribute information is proposed. According to the correlation of user attributes, the cross-validation method is used to train model prediction task and improve the prediction effect. In the first-level model, using a different model to extract the features in the user query, the basis of the second hierarchy model, Stacking is used to further integrate characteristics, finally realizing the attribute population forecast, and experimental verification showing the proposed model’s effectiveness in various attributes of a population. Frontiers Media S.A. 2022-08-24 /pmc/articles/PMC9449543/ /pubmed/36092110 http://dx.doi.org/10.3389/fpsyg.2022.918274 Text en Copyright © 2022 Jiang and Yin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Jiang, Hao
Yin, Xuehong
Association between community psychological label and user portrait model based on multimodal neural network
title Association between community psychological label and user portrait model based on multimodal neural network
title_full Association between community psychological label and user portrait model based on multimodal neural network
title_fullStr Association between community psychological label and user portrait model based on multimodal neural network
title_full_unstemmed Association between community psychological label and user portrait model based on multimodal neural network
title_short Association between community psychological label and user portrait model based on multimodal neural network
title_sort association between community psychological label and user portrait model based on multimodal neural network
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449543/
https://www.ncbi.nlm.nih.gov/pubmed/36092110
http://dx.doi.org/10.3389/fpsyg.2022.918274
work_keys_str_mv AT jianghao associationbetweencommunitypsychologicallabelanduserportraitmodelbasedonmultimodalneuralnetwork
AT yinxuehong associationbetweencommunitypsychologicallabelanduserportraitmodelbasedonmultimodalneuralnetwork