Cargando…
An Application to Detect Cyberbullying Using Machine Learning and Deep Learning Techniques
Nowadays, a lot of people indulge themselves in the world of social media. With the current pandemic scenario, this engagement has only increased as people often rely on social media platforms to express their emotions, find comfort, find like-minded individuals, and form communities. With this exte...
Autores principales: | Raj, Mitushi, Singh, Samridhi, Solanki, Kanishka, Selvanambi, Ramani |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321314/ https://www.ncbi.nlm.nih.gov/pubmed/35911437 http://dx.doi.org/10.1007/s42979-022-01308-5 |
Ejemplares similares
-
Cyberbullying severity detection: A machine learning approach
por: Talpur, Bandeh Ali, et al.
Publicado: (2020) -
Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media
por: S, Neelakandan, et al.
Publicado: (2022) -
Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data
por: Dewani, Amirita, et al.
Publicado: (2021) -
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
por: Goyal, Shimpy, et al.
Publicado: (2021) -
A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
por: Das, Sreeparna, et al.
Publicado: (2023)