Multilingual Classification Using Deep Learning

Used 5 types of neural network models for text classification. The best accuracy was 93.91% by a combination of 1-Dimensional CNNs and BiLSTM network. Also performed zero shot learning on a multilingual - finetuned LLM. The dataset is from huggingface-datasets.