Feature Selection Empowered by Self-Inertia Weight Adaptive Particle Swarm Optimization for Text Classification
Author:
Affiliation:
1. Department of Computer Science, Lahore Garrison University, Lahore, Pakistan
2. College of Computing and Information Sciences, Paf Kiet, Karachi, Pakistan
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.2004345
Reference25 articles.
1. A Parallel Global TFIDF Feature Selection Using Hadoop for Big Data Text Classification
2. An application of MOGW optimization for feature selection in text classification
3. Memory enhanced evolutionary algorithms for changing optimization problems
4. Hybrid Artificial Bee Colony Algorithm and Particle Swarm Search for Global Optimization
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