Text Classification On 20News

Metrics

Accuracy

F-measure

Precision

Recall

Results

Performance results of various models on this benchmark

					Paper Title
LinearSVM+TFIDF	93	93	-	-	A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks
RoBERTaGCN	89.5	-	-	-	BertGCN: Transductive Text Classification by Combining GCN and BERT
SSGC	88.6	-	-	-	Simple Spectral Graph Convolution
SGC	88.5	-	-	-	Simplifying Graph Convolutional Networks
SGCN	88.5	-	-	-	Simplifying Graph Convolutional Networks
RMDL (15 RDLs)	87.91	-	-	-	RMDL: Random Multimodel Deep Learning for Classification
Sparse Tensor Classifier	87.3	86.6	87.1	86.6	An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics
GraphStar	86.9	-	-	-	Graph Star Net for Generalized Multi-Task Learning
NABoE-full	86.8	86.2	-	-	Neural Attentive Bag-of-Entities Model for Text Classification
Text GCN	86.34	-	-	-	Graph Convolutional Networks for Text Classification
SCDV-MS	86.19	86.16	86.2	86.18	Improving Document Classification with Multi-Sense Embeddings
TextEnt-full	84.5	83.9	-	-	Representation Learning of Entities and Documents from Knowledge Base Descriptions
SSNMF	81.88	-	-	-	Semi-supervised NMF Models for Topic Modeling in Learning Tasks
ApproxRepSet	76.18	-	-	-	Rep the Set: Neural Networks for Learning Set Representations
REL-RWMD k-NN	74.78	-	-	-	Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
Orthogonalized Soft VSM	70.28	-	-	-	Text classification with word embedding regularization and soft similarity measure

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