INTRODUCTION

The module extensively explores challenges in Natural Language Processing (NLP), such as ambiguity and bias, while covering industry-relevant terms like tokenization and part-of-speech tagging. It also delves into deep learning concepts within NLP, including word embeddings and recurrent neural networks, and addresses terminology related to neural network architectures and layers in language processing.