Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms
H Gharaibeh, A Mamlook, R Emhamed… - Social Network Analysis …, 2024 - Springer
Sentiment analysis, a branch of natural language processing (NLP), has gained significant
attention for its applications in various domains. This study focuses on utilizing machine …
attention for its applications in various domains. This study focuses on utilizing machine …
Assessing ML Classification Algorithms and NLP Techniques for Depression Detection: An Experimental Case Study
G Lorenzoni, C Tavares, N Nascimento… - arXiv preprint arXiv …, 2024 - arxiv.org
Depression has affected millions of people worldwide and has become one of the most
common mental disorders. Early mental disorder detection can reduce costs for public …
common mental disorders. Early mental disorder detection can reduce costs for public …
Detecting Signs of Depression in Social Networks Users: A Framework for Enhancing the Quality of Machine Learning Models
A Gorrab, N Ben Rabah, B Le Grand… - International Conference …, 2024 - Springer
Depression is widely recognized as a contributor to global disability and a significant factor
in the emergence of suicidal tendencies. On social networks, individuals openly share their …
in the emergence of suicidal tendencies. On social networks, individuals openly share their …
Sentimental analysis for depression tweets using deep belief network
last years the risk of dying from depression has increased, Depression creates suicidal
thoughts for people that cause serious disabilities in daily life. Sentiment analysis (SA) is a …
thoughts for people that cause serious disabilities in daily life. Sentiment analysis (SA) is a …