Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms.
Hasan GharaibehRabia Emhamed Al MamlookGhassan SamaraAhmad NasayrehSaja SmadiKhalid M. O. NaharMohammad AljaidiEssam Al-DaoudMohammad A. GharaibehLaith AbualigahPublished in: Soc. Netw. Anal. Min. (2023)
Keyphrases
- machine learning algorithms
- sentiment analysis
- hyperparameters
- neural network
- model selection
- cross validation
- machine learning
- closed form
- bayesian framework
- opinion mining
- bayesian inference
- random sampling
- text classification
- support vector
- learning algorithm
- prior information
- em algorithm
- sample size
- decision trees
- machine learning methods
- sentiment classification
- maximum likelihood
- incremental learning
- maximum a posteriori
- learning problems
- noise level
- sentence level
- incomplete data
- meta learning
- learning tasks
- natural language processing
- missing values
- artificial neural networks
- genetic algorithm
- product reviews
- active learning
- generative model
- sentiment lexicon
- expectation maximization
- data sets
- parameter settings
- reinforcement learning
- supervised learning
- feature selection
- parameter space
- transfer learning