Efficient feature selection techniques for sentiment analysis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08409-z
Abstract: Sentiment analysis is a domain of study that focuses on identifying and classifying the ideas expressed in the form of text into positive, negative and neutral polarities. Feature selection is a crucial process in machine… read more here.
Keywords: analysis; sentiment analysis; selection techniques; feature selection ... See more keywords
Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method
Sign Up to like & getrecommendations! Published in 2019 at "Applied Biochemistry and Biotechnology"
DOI: 10.1007/s12010-019-03222-8
Abstract: Skin disease is the most common problem between people. Due to pollution and deployment of ozone layer, harmful UV rays of sun burn the skin and develop various types of skin diseases. Nowadays, machine learning… read more here.
Keywords: feature selection; feature; disease; model ... See more keywords
Identifying key wavenumbers that improve prediction of amylose in rice samples utilizing advanced wavenumber selection techniques.
Sign Up to like & getrecommendations! Published in 2021 at "Talanta"
DOI: 10.1016/j.talanta.2020.121908
Abstract: This study utilizes advanced wavenumber selection techniques to improve the prediction of amylose content in grounded rice samples with near-infrared spectroscopy. Four different wavenumber selection techniques, i.e. covariate selection (CovSel), variable combination population analysis (VCPA),… read more here.
Keywords: rice samples; wavenumber selection; selection; selection techniques ... See more keywords
Practically Implementation of Information Loss: Sensitivity, Risk by Different Feature Selection Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152963
Abstract: The modern perspective to deal with bulky data generations schemes of latest technologies in terms of dimensionality and sample size to extract meaningful information also to support automated knowledge discovery and pattern recognition process form… read more here.
Keywords: information; information loss; selection techniques; implementation information ... See more keywords
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
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DOI: 10.1371/journal.pone.0284150
Abstract: With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse clinical evolutions. Here we… read more here.
Keywords: selection techniques; covid severity; severity; feature selection ... See more keywords
EEG Channel Selection Techniques in Motor Imagery Applications: A Review and New Perspectives
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering9120726
Abstract: Communication, neuro-prosthetics, and environmental control are just a few applications for disabled persons who use robots and manipulators that use brain-computer interface (BCI) systems. The brain’s motor imagery (MI) signal is an essential input for… read more here.
Keywords: selection techniques; brain; channel selection; eeg channel ... See more keywords