A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification.
Osman GökalpErdal TasciAybars UgurPublished in: Expert Syst. Appl. (2020)
Keyphrases
- metaheuristic
- sentiment classification
- feature selection algorithms
- feature selection
- text classification
- sentiment analysis
- simulated annealing
- optimization problems
- scatter search
- search space
- tabu search
- cross domain
- text categorization
- optimal solution
- genetic algorithm
- combinatorial optimization
- particle swarm optimization
- feature set
- vehicle routing problem
- feature space
- machine learning
- benchmark instances
- cross lingual
- labeled data
- optimization method
- support vector machine
- classification accuracy
- variable neighborhood search
- greedy algorithm
- hybrid metaheuristic
- genetic programming
- objective function
- knn
- search algorithm
- support vector
- information retrieval
- neural network