Cargando…
Social media data analysis to predict mental state of users using machine learning techniques
BACKGROUND: Social media platforms such as Facebook, WhatsApp, and Instagram etc., are becoming very popular now not only for youth but for all walks of life. People are more often seen in busy in tweeting, chatting, or putting selfies. No one actually knows the mental state of a person in the onlin...
Autores principales: | Lokeshkumar, R., Mishra, Om Ashish, Kalra, Shivam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459879/ https://www.ncbi.nlm.nih.gov/pubmed/34667801 http://dx.doi.org/10.4103/jehp.jehp_446_20 |
Ejemplares similares
-
Machine Learning for Mental Health in Social Media: Bibliometric Study
por: Kim, Jina, et al.
Publicado: (2021) -
Identification and Classification of Depressed Mental State for End-User over Social Media
por: Kumar, Akhilesh, et al.
Publicado: (2022) -
Retracted: Identification and Classification of Depressed Mental State for End-User over Social Media
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System
por: Sumathy, B., et al.
Publicado: (2022) -
Bibliometric Studies and the Discipline of Social Media Mental Health Research. Comment on “Machine Learning for Mental Health in Social Media: Bibliometric Study”
por: Resnik, Philip, et al.
Publicado: (2021)