Machine learning-based proactive social-sensor service for mental health monitoring using twitter data-Reference-Cited by-同舟云学术

Machine learning-based proactive social-sensor service for mental health monitoring using twitter data

Published:2022-11 Issue:2 Volume:2 Page:100113
ISSN:2667-0968
Container-title:International Journal of Information Management Data Insights
language:en
Short-container-title:International Journal of Information Management Data Insights

Author:

Hinduja Shailesh,Afrin Mahbuba,Mistry Sajib^ORCID,Krishna Aneesh

Publisher

Elsevier BV

Subject

Library and Information Sciences,Industrial and Manufacturing Engineering,Information Systems and Management,Information Systems,Artificial Intelligence,Management Information Systems

Reference57 articles.

1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., & Zheng, X. (2015). TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from tensorflow.org, https://www.tensorflow.org/.

2. Effect of training set size on SVM and naive Bayesfor twitter sentiment analysis;Abdelwahab,2015

3. Sentiment analysis of twitter data;Agarwal,2011

4. Role of human behaviour attributes in mobile crowd sensing: a systematic literature review;Agarwal;Digital Policy, Regulation and Governance,2017

5. A survey on mental health monitoring system via social media data using deep learning framework;Banerjee,2021

Cited by 19 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 Chatbot;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

2. A Review of Mental Health Analysis Through Social Media Using Machine Learning and Deep Learning Approaches;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23

3. Maternal mental health monitoring in an online community: a natural language processing approach;Behaviour & Information Technology;2024-03-27

4. Sentimental Insight 2.0: Exploring the Frontiers of Opinion Mining with Deep Learning;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

5. Classification of Obsessive-Compulsive Disorder Symptoms in Arabic Tweets Using Machine Learning and Word Embedding Techniques;Journal of Advances in Information Technology;2024