A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks.
Abdulaziz AlarifiAmr TolbaZafer Al-MakhadmehWael SaidPublished in: J. Supercomput. (2020)
Keyphrases
- sentiment analysis
- big data
- feature selection
- swarm optimization
- text classification
- neural network
- recurrent neural networks
- opinion mining
- swarm intelligence
- big data analytics
- sentiment classification
- cloud computing
- text categorization
- social media
- mutual information
- data processing
- sentence level
- data analysis
- particle swarm optimization pso
- data management
- ant colony optimization
- business intelligence
- natural language processing
- text mining
- particle swarm optimization
- knowledge discovery
- machine learning
- fuzzy logic
- public opinion
- feed forward
- product reviews
- product features
- knn
- data warehousing
- back propagation
- pso algorithm
- genetic algorithm ga
- data sets
- real world
- artificial neural networks
- artificial intelligence
- genetic algorithm
- data mining
- positive or negative
- decision support
- sentiment lexicon
- databases