Text-based feature selection using binary particle swarm optimization for sentiment analysis
Author:
Affiliation:
1. Faculty of Applied Informatics Tomas Bata University in Zlin Nam T.G. Masaryka 5555,Zlin,Czech Republic,76001
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872524/9872533/09872823.pdf?arnumber=9872823
Reference23 articles.
1. Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
2. Effective Sentiment Analysis for Opinion Mining Using Artificial Bee Colony Optimization
3. Enhancing sentiment analysis using Roulette wheel selection based cuckoo search clustering method
4. Optimal feature selection using distance-based discrete firefly algorithm with mutual information criterion
5. Particle swarm optimization
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Synergies Between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview;Computational Intelligence Methods and Applications;2024
2. Metaheuristics for Feature Selection: A Comprehensive Comparison Using Opytimizer;Benchmarks and Hybrid Algorithms in Optimization and Applications;2023
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