Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks.Deep networks initially conquered the problems of computer vision.However, dealing with sequential data such as text and sound was a nightmare for such networks as traditional deep networks are not reliable in preserving contextual