3 Review(s)

Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. This course explores the core techniques used in processing and analyzing large volumes of natural language data. Topics include text preprocessing, syntactic and semantic analysis, sentiment detection, language modeling, named entity recognition, and machine translation. Learners also gain hands-on experience with modern NLP tools and frameworks, as well as advanced models such as word embeddings and transformer-based architectures (e.g., BERT, GPT). NLP is essential for building intelligent systems like chatbots, voice assistants, and automated text analysis tools.