Data-driven Depression Detection System for Textual Data on Twitter using Deep Learning

Author:

Hasan Mushrifah1,Ghane Sunil1

Affiliation:

1. Sardar Patel Institute of Technology,Department of Computer Engineering,Mumbai,India

Publisher

IEEE

Reference14 articles.

1. A Multitask Framework to Detect Depression, Sentiment and Multi-label Emotion from Suicide Notes

2. A Multiclass Depression Detection in Social Media Based on Sentiment Analysis

3. Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums

4. Hybrid approach to detecting symptoms of depression in social media entries;wolk;PACIS,2021

5. Vader: A parsimonious rule-based model for sentiment analysis of social media text;hutto,2015

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mental health prediction using machine learning techniques and comparison with existing works;AIP Conference Proceedings;2024

2. Enhancing Depression Detection from Narrative Interviews Using Language Models;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. Depression Detection Through User’s Social Network Interactions;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

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