Improvements in natural language understanding using deep learning
Xia Cen · 2024
Natural Language Processing (NLP) is a growing area of artificial intelligence research with the goal of enabling computers to understand and interpret human language. In this study, we propose a new deep learning-based model that aims to improve machine understanding of natural language. We implemented a model that combines Recurrent Neural Networks (RNN) and Attention Mechanisms and tested it on multiple datasets, including sentiment analysis and text summarization. Experimental results show that our model outperforms existing techniques on several tasks.