A Natural Language Processing (NLP) course is pivotal in our tech-driven era, where human-machine interaction is growing extensively. It enables individuals to harness the potential of language data, making sense of vast textual information. NLP skills are crucial for developing innovative applications like chatbots and virtual assistants. Moreover, as businesses increasingly rely on data insights, NLP becomes indispensable for extracting valuable information from unstructured text.nnThis course offers an advanced undergraduate-level introduction to Natural Language Processing (NLP) concepts and algorithms. Starting with fundamental concepts, it advances to introduce the latest techniques and applications of Natural Language Processing (NLP). Topics include text processing, language models, classification, representation learning, transfer learning, and deep learning for NLP. Applications include sentiment analysis, text summarization, machine translation, and dialogue systems.
