Supervised term-category feature weighting for improved text classification

Joseph Attieh, Joe Tekli

Abstract: Highlights•Provides a supervised weighting scheme based on Term Frequency-Inverse Category Frequency model.•Introduces three lean-architecture classifiers compared with more complex deep learning models.•Iterative-additive classifier builds term-category matrix producing category vector features.•Gradient descent classifier computes term-category matrix using gradient descent ANN model.•ANN classifier trains feed-forward ANN to transform documents to the category vector space.