This document provides an overview of natural language processing (NLP). It defines NLP as a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language. The document outlines several key NLP applications including sentiment analysis, chatbots, machine translation and text summarization. It also discusses some of the core processes in NLP like tokenization and part-of-speech tagging. Challenges in NLP including ambiguity and context understanding are presented. Recent advances like BERT and transfer learning are noted, as is the potential for improved language models and multimodal NLP in the future.