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What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification.
Biyang Guo
Songqiao Han
Hailiang Huang
Published in:
CoRR (2021)
Keyphrases
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information retrieval
pattern classification
feature selection
image classification
learning phase
decision rules
support vector
pattern recognition
classification accuracy
training set
text retrieval
classification method
supervised machine learning
support vector machine svm
data sets
feature extraction
decision trees
machine learning
data mining
supervised learning
document categorization
polarity classification
class specific
classification models
class labels
feature space
neural network