Natural Language Processing (NLP) is a subfield of AI that focuses on the interaction between computers and human language. In the context of Big Data, NLP enables the extraction of meaningful information from vast amounts of unstructured text data, such as social media posts, customer reviews, emails, and news articles. NLP techniques like named entity recognition (NER), sentiment analysis, topic modeling, and text summarization help organizations gain insights into customer behavior, market trends, and public opinion. Advanced NLP models, such as BERT and GPT, leverage deep learning architectures to achieve state-of-the-art performance in tasks like machine translation, question answering, and text generation. By automating text analysis, NLP reduces the time and effort required to derive actionable insights from large text corpora.