Research on Depression Tendency Detection Based on Image and Text Fusion-Reference-Cited by-同舟云学术

Research on Depression Tendency Detection Based on Image and Text Fusion

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD)
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Author:

Xu Long¹,Shu Xin¹,Shu Jian¹

Affiliation:

1. Nanchang Hangkong University,School of Software,Nanchang,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9819953/9819974/09820295.pdf?arnumber=9820295

Reference11 articles.

1. Depression Intensity Estimation via Social Media: A Deep Learning Approach

2. Very deep convolutional networks for large-scale image recognition;simonyan;Proceedings of the 3rd International Conference on Learning Representations,2015

3. A review of sentiment analysis research based on image-text fusion;meng;Journal of Computer Applications,2021

4. Depression Analysis of Bangla Social Media Data using Gated Recurrent Neural Network

5. A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo

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1. Screening Application for Possible Mental Health Issues in Adolescents and PWDs Using Data Science;Lecture Notes in Networks and Systems;2024

2. Machine Learning for Early Detection of Child Depression: A Data-Driven Approach;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

3. Automatic Depression Detection Using Multi-Modal & Late-Fusion Based Architecture;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

4. AI-Enhanced Mental Health Diagnosis: Leveraging Transformers for Early Detection of Depression Tendency in Textual Data;2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT);2023-10-30

5. Deep Learning Based Approach for Emotion Recognition Using Image-text Fusion;2023 2nd International Joint Conference on Information and Communication Engineering (JCICE);2023-05