Table 7 Performance comparison of deep learning classifiers with various embeddings for Kashmiri news snippet classification.

From: Dataset creation and benchmarking for Kashmiri news snippet classification using fine-tuned transformer and LLM models in a low resource setting

Embedding

Classifiers

Precision

Recall

F1

Accuracy

IndicBERT v2

LSTM

0.92

0.91

0.91

0.91

GRU

0.92

0.92

0.92

0.92

RNN

0.92

0.92

0.92

0.92

Bi-GRU

0.92

0.91

0.91

0.91

Bi-LSTM

0.91

0.90

0.90

0.90

FastText

LSTM

0.85

0.84

0.84

0.85

GRU

0.86

0.86

0.86

0.86

RNN

0.88

0.88

0.88

0.88

Bi-GRU

0.88

0.88

0.88

0.88

Bi-LSTM

0.86

0.86

0.86

0.86

  1. Bold values indicate the best-performing model for each embedding or experimental setting
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