Study Results from Universitas Ahmad Dahlan Broaden Understanding of Support Vec tor Machines (Chi-Square Feature Selection with Pseudo-Labelling in Natural Lang uage Processing)
Study Results from Universitas Ahmad Dahlan Broaden Understanding of Support Vec tor Machines (Chi-Square Feature Selection with Pseudo-Labelling in Natural Lang uage Processing)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in . According to news reporting out of the UniversitasAhmad Dahlan by NewsRx edit ors, research stated, “This study aims to evaluate the effectiveness of theChi- Square feature selection method in improving the classification accuracy of line ar Support VectorMachine, K-Nearest Neighbors and Random Forest in natural lang uage processing when combined withclassification algorithms as well as introduc ing Pseudo-Labelling techniques to improve semi-supervisedclassification perfor mance.”
Key words
Universitas Ahmad Dahlan/Emerging Techn ologies/K-nearest Neighbor/Machine Learning/Natural Language Processing/Supp ort Vector Machines/Vector Machines
NETL
NSTL